Overview

Dataset statistics

Number of variables104
Number of observations18278
Missing cells244935
Missing cells (%)12.9%
Total size in memory14.5 MiB
Average record size in memory832.0 B

Variable types

Numeric58
Categorical45
Boolean1

Alerts

player_url has a high cardinality: 18278 distinct values High cardinality
short_name has a high cardinality: 17354 distinct values High cardinality
long_name has a high cardinality: 18218 distinct values High cardinality
dob has a high cardinality: 6142 distinct values High cardinality
nationality has a high cardinality: 162 distinct values High cardinality
club has a high cardinality: 698 distinct values High cardinality
player_positions has a high cardinality: 643 distinct values High cardinality
player_tags has a high cardinality: 83 distinct values High cardinality
loaned_from has a high cardinality: 316 distinct values High cardinality
joined has a high cardinality: 1760 distinct values High cardinality
player_traits has a high cardinality: 921 distinct values High cardinality
ls has a high cardinality: 94 distinct values High cardinality
st has a high cardinality: 94 distinct values High cardinality
rs has a high cardinality: 94 distinct values High cardinality
lw has a high cardinality: 107 distinct values High cardinality
lf has a high cardinality: 103 distinct values High cardinality
cf has a high cardinality: 103 distinct values High cardinality
rf has a high cardinality: 103 distinct values High cardinality
rw has a high cardinality: 107 distinct values High cardinality
lam has a high cardinality: 103 distinct values High cardinality
cam has a high cardinality: 103 distinct values High cardinality
ram has a high cardinality: 103 distinct values High cardinality
lm has a high cardinality: 100 distinct values High cardinality
lcm has a high cardinality: 88 distinct values High cardinality
cm has a high cardinality: 88 distinct values High cardinality
rcm has a high cardinality: 88 distinct values High cardinality
rm has a high cardinality: 100 distinct values High cardinality
lwb has a high cardinality: 98 distinct values High cardinality
ldm has a high cardinality: 98 distinct values High cardinality
cdm has a high cardinality: 98 distinct values High cardinality
rdm has a high cardinality: 98 distinct values High cardinality
rwb has a high cardinality: 98 distinct values High cardinality
lb has a high cardinality: 96 distinct values High cardinality
lcb has a high cardinality: 110 distinct values High cardinality
cb has a high cardinality: 110 distinct values High cardinality
rcb has a high cardinality: 110 distinct values High cardinality
rb has a high cardinality: 96 distinct values High cardinality
sofifa_id is highly correlated with age and 13 other fieldsHigh correlation
age is highly correlated with sofifa_id and 13 other fieldsHigh correlation
height_cm is highly correlated with weight_kg and 11 other fieldsHigh correlation
weight_kg is highly correlated with height_cm and 7 other fieldsHigh correlation
overall is highly correlated with age and 59 other fieldsHigh correlation
potential is highly correlated with overall and 33 other fieldsHigh correlation
value_eur is highly correlated with overall and 41 other fieldsHigh correlation
wage_eur is highly correlated with overall and 38 other fieldsHigh correlation
skill_moves is highly correlated with height_cm and 53 other fieldsHigh correlation
release_clause_eur is highly correlated with overall and 41 other fieldsHigh correlation
pace is highly correlated with player_tags and 6 other fieldsHigh correlation
shooting is highly correlated with overall and 43 other fieldsHigh correlation
passing is highly correlated with overall and 41 other fieldsHigh correlation
dribbling is highly correlated with overall and 43 other fieldsHigh correlation
defending is highly correlated with overall and 28 other fieldsHigh correlation
physic is highly correlated with height_cm and 20 other fieldsHigh correlation
gk_diving is highly correlated with age and 18 other fieldsHigh correlation
gk_handling is highly correlated with age and 19 other fieldsHigh correlation
gk_kicking is highly correlated with sofifa_id and 18 other fieldsHigh correlation
gk_reflexes is highly correlated with age and 19 other fieldsHigh correlation
gk_speed is highly correlated with sofifa_id and 5 other fieldsHigh correlation
gk_positioning is highly correlated with sofifa_id and 20 other fieldsHigh correlation
attacking_crossing is highly correlated with height_cm and 54 other fieldsHigh correlation
attacking_finishing is highly correlated with overall and 58 other fieldsHigh correlation
attacking_heading_accuracy is highly correlated with height_cm and 42 other fieldsHigh correlation
attacking_short_passing is highly correlated with overall and 57 other fieldsHigh correlation
attacking_volleys is highly correlated with overall and 56 other fieldsHigh correlation
skill_dribbling is highly correlated with height_cm and 60 other fieldsHigh correlation
skill_curve is highly correlated with overall and 54 other fieldsHigh correlation
skill_fk_accuracy is highly correlated with overall and 45 other fieldsHigh correlation
skill_long_passing is highly correlated with overall and 52 other fieldsHigh correlation
skill_ball_control is highly correlated with overall and 59 other fieldsHigh correlation
movement_acceleration is highly correlated with height_cm and 38 other fieldsHigh correlation
movement_sprint_speed is highly correlated with skill_moves and 33 other fieldsHigh correlation
movement_agility is highly correlated with height_cm and 39 other fieldsHigh correlation
movement_reactions is highly correlated with age and 51 other fieldsHigh correlation
movement_balance is highly correlated with height_cm and 29 other fieldsHigh correlation
power_shot_power is highly correlated with overall and 44 other fieldsHigh correlation
power_stamina is highly correlated with skill_moves and 44 other fieldsHigh correlation
power_strength is highly correlated with height_cm and 6 other fieldsHigh correlation
power_long_shots is highly correlated with overall and 57 other fieldsHigh correlation
mentality_aggression is highly correlated with skill_moves and 38 other fieldsHigh correlation
mentality_interceptions is highly correlated with overall and 51 other fieldsHigh correlation
mentality_positioning is highly correlated with height_cm and 59 other fieldsHigh correlation
mentality_vision is highly correlated with overall and 42 other fieldsHigh correlation
mentality_penalties is highly correlated with skill_moves and 46 other fieldsHigh correlation
mentality_composure is highly correlated with overall and 56 other fieldsHigh correlation
defending_marking is highly correlated with overall and 49 other fieldsHigh correlation
defending_standing_tackle is highly correlated with overall and 52 other fieldsHigh correlation
defending_sliding_tackle is highly correlated with overall and 48 other fieldsHigh correlation
goalkeeping_diving is highly correlated with overall and 38 other fieldsHigh correlation
goalkeeping_handling is highly correlated with overall and 52 other fieldsHigh correlation
goalkeeping_kicking is highly correlated with skill_moves and 51 other fieldsHigh correlation
goalkeeping_positioning is highly correlated with overall and 53 other fieldsHigh correlation
goalkeeping_reflexes is highly correlated with overall and 38 other fieldsHigh correlation
international_reputation is highly correlated with overall and 42 other fieldsHigh correlation
power_jumping is highly correlated with physicHigh correlation
rm is highly correlated with sofifa_id and 58 other fieldsHigh correlation
ldm is highly correlated with age and 54 other fieldsHigh correlation
lm is highly correlated with sofifa_id and 58 other fieldsHigh correlation
lb is highly correlated with sofifa_id and 55 other fieldsHigh correlation
lcm is highly correlated with overall and 51 other fieldsHigh correlation
rb is highly correlated with sofifa_id and 55 other fieldsHigh correlation
rs is highly correlated with sofifa_id and 56 other fieldsHigh correlation
player_tags is highly correlated with sofifa_id and 68 other fieldsHigh correlation
rcm is highly correlated with overall and 51 other fieldsHigh correlation
body_type is highly correlated with weight_kg and 23 other fieldsHigh correlation
st is highly correlated with sofifa_id and 56 other fieldsHigh correlation
ls is highly correlated with sofifa_id and 56 other fieldsHigh correlation
lwb is highly correlated with sofifa_id and 53 other fieldsHigh correlation
rdm is highly correlated with age and 54 other fieldsHigh correlation
rwb is highly correlated with sofifa_id and 53 other fieldsHigh correlation
real_face is highly correlated with overall and 29 other fieldsHigh correlation
cdm is highly correlated with age and 54 other fieldsHigh correlation
cm is highly correlated with overall and 51 other fieldsHigh correlation
work_rate is highly correlated with player_tagsHigh correlation
team_position is highly correlated with skill_moves and 39 other fieldsHigh correlation
nation_position is highly correlated with value_eur and 45 other fieldsHigh correlation
nation_jersey_number is highly correlated with skill_moves and 14 other fieldsHigh correlation
release_clause_eur has 1298 (7.1%) missing values Missing
player_tags has 16779 (91.8%) missing values Missing
team_position has 240 (1.3%) missing values Missing
team_jersey_number has 240 (1.3%) missing values Missing
loaned_from has 17230 (94.3%) missing values Missing
joined has 1288 (7.0%) missing values Missing
contract_valid_until has 240 (1.3%) missing values Missing
nation_position has 17152 (93.8%) missing values Missing
nation_jersey_number has 17152 (93.8%) missing values Missing
pace has 2036 (11.1%) missing values Missing
shooting has 2036 (11.1%) missing values Missing
passing has 2036 (11.1%) missing values Missing
dribbling has 2036 (11.1%) missing values Missing
defending has 2036 (11.1%) missing values Missing
physic has 2036 (11.1%) missing values Missing
gk_diving has 16242 (88.9%) missing values Missing
gk_handling has 16242 (88.9%) missing values Missing
gk_kicking has 16242 (88.9%) missing values Missing
gk_reflexes has 16242 (88.9%) missing values Missing
gk_speed has 16242 (88.9%) missing values Missing
gk_positioning has 16242 (88.9%) missing values Missing
player_traits has 10712 (58.6%) missing values Missing
ls has 2036 (11.1%) missing values Missing
st has 2036 (11.1%) missing values Missing
rs has 2036 (11.1%) missing values Missing
lw has 2036 (11.1%) missing values Missing
lf has 2036 (11.1%) missing values Missing
cf has 2036 (11.1%) missing values Missing
rf has 2036 (11.1%) missing values Missing
rw has 2036 (11.1%) missing values Missing
lam has 2036 (11.1%) missing values Missing
cam has 2036 (11.1%) missing values Missing
ram has 2036 (11.1%) missing values Missing
lm has 2036 (11.1%) missing values Missing
lcm has 2036 (11.1%) missing values Missing
cm has 2036 (11.1%) missing values Missing
rcm has 2036 (11.1%) missing values Missing
rm has 2036 (11.1%) missing values Missing
lwb has 2036 (11.1%) missing values Missing
ldm has 2036 (11.1%) missing values Missing
cdm has 2036 (11.1%) missing values Missing
rdm has 2036 (11.1%) missing values Missing
rwb has 2036 (11.1%) missing values Missing
lb has 2036 (11.1%) missing values Missing
lcb has 2036 (11.1%) missing values Missing
cb has 2036 (11.1%) missing values Missing
rcb has 2036 (11.1%) missing values Missing
rb has 2036 (11.1%) missing values Missing
player_url is uniformly distributed Uniform
short_name is uniformly distributed Uniform
long_name is uniformly distributed Uniform
sofifa_id has unique values Unique
player_url has unique values Unique
value_eur has 250 (1.4%) zeros Zeros
wage_eur has 240 (1.3%) zeros Zeros

Reproduction

Analysis started2022-10-27 05:36:54.857424
Analysis finished2022-10-27 05:38:16.445549
Duration1 minute and 21.59 seconds
Software versionpandas-profiling v3.4.0
Download configurationconfig.json

Variables

sofifa_id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct18278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219738.8645
Minimum768
Maximum252905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum768
5-th percentile171915.7
Q1204445.5
median226165
Q3240795.75
95-th percentile251336.15
Maximum252905
Range252137
Interquartile range (IQR)36350.25

Descriptive statistics

Standard deviation27960.20046
Coefficient of variation (CV)0.127242855
Kurtosis8.135198924
Mean219738.8645
Median Absolute Deviation (MAD)16836
Skewness-1.950602909
Sum4016386965
Variance781772809.8
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1580231
 
< 0.1%
2472131
 
< 0.1%
2377121
 
< 0.1%
2356331
 
< 0.1%
2523241
 
< 0.1%
2485731
 
< 0.1%
2478701
 
< 0.1%
2473281
 
< 0.1%
2466661
 
< 0.1%
2402451
 
< 0.1%
Other values (18268)18268
99.9%
ValueCountFrequency (%)
7681
< 0.1%
11791
< 0.1%
21471
< 0.1%
23351
< 0.1%
27021
< 0.1%
32811
< 0.1%
34671
< 0.1%
54791
< 0.1%
76471
< 0.1%
104661
< 0.1%
ValueCountFrequency (%)
2529051
< 0.1%
2529041
< 0.1%
2529031
< 0.1%
2529011
< 0.1%
2529001
< 0.1%
2528991
< 0.1%
2528981
< 0.1%
2528931
< 0.1%
2528921
< 0.1%
2528911
< 0.1%

player_url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct18278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
https://sofifa.com/player/158023/lionel-messi/20/159586
 
1
https://sofifa.com/player/247213/sibiry-keita/20/159586
 
1
https://sofifa.com/player/237712/valentin-castellanos/20/159586
 
1
https://sofifa.com/player/235633/yehvann-diouf/20/159586
 
1
https://sofifa.com/player/252324/rodrigo-riquelme-reche/20/159586
 
1
Other values (18273)
18273 

Length

Max length78
Median length74
Mean length58.01827333
Min length48

Characters and Unicode

Total characters1060458
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18278 ?
Unique (%)100.0%

Sample

1st rowhttps://sofifa.com/player/158023/lionel-messi/20/159586
2nd rowhttps://sofifa.com/player/20801/c-ronaldo-dos-santos-aveiro/20/159586
3rd rowhttps://sofifa.com/player/190871/neymar-da-silva-santos-jr/20/159586
4th rowhttps://sofifa.com/player/200389/jan-oblak/20/159586
5th rowhttps://sofifa.com/player/183277/eden-hazard/20/159586

Common Values

ValueCountFrequency (%)
https://sofifa.com/player/158023/lionel-messi/20/1595861
 
< 0.1%
https://sofifa.com/player/247213/sibiry-keita/20/1595861
 
< 0.1%
https://sofifa.com/player/237712/valentin-castellanos/20/1595861
 
< 0.1%
https://sofifa.com/player/235633/yehvann-diouf/20/1595861
 
< 0.1%
https://sofifa.com/player/252324/rodrigo-riquelme-reche/20/1595861
 
< 0.1%
https://sofifa.com/player/248573/eric-junior-dina-ebimbe/20/1595861
 
< 0.1%
https://sofifa.com/player/247870/nail-umyarov/20/1595861
 
< 0.1%
https://sofifa.com/player/247328/unai-vencedor-paris/20/1595861
 
< 0.1%
https://sofifa.com/player/246666/noah-katterbach/20/1595861
 
< 0.1%
https://sofifa.com/player/240245/luis-ureta/20/1595861
 
< 0.1%
Other values (18268)18268
99.9%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
https://sofifa.com/player/158023/lionel-messi/20/1595861
 
< 0.1%
https://sofifa.com/player/231747/kylian-mbappe/20/1595861
 
< 0.1%
https://sofifa.com/player/183277/eden-hazard/20/1595861
 
< 0.1%
https://sofifa.com/player/192985/kevin-de-bruyne/20/1595861
 
< 0.1%
https://sofifa.com/player/192448/marc-andre-ter-stegen/20/1595861
 
< 0.1%
https://sofifa.com/player/203376/virgil-van-dijk/20/1595861
 
< 0.1%
https://sofifa.com/player/153079/sergio-aguero/20/1595861
 
< 0.1%
https://sofifa.com/player/177003/luka-modric/20/1595861
 
< 0.1%
https://sofifa.com/player/201024/kalidou-koulibaly/20/1595861
 
< 0.1%
https://sofifa.com/player/190871/neymar-da-silva-santos-jr/20/1595861
 
< 0.1%
Other values (18268)18268
99.9%

Most occurring characters

ValueCountFrequency (%)
/127946
 
12.1%
a69124
 
6.5%
o56209
 
5.3%
s50934
 
4.8%
t45629
 
4.3%
545314
 
4.3%
243213
 
4.1%
e41662
 
3.9%
p39799
 
3.8%
f39149
 
3.7%
Other values (30)501479
47.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter616728
58.2%
Decimal Number255802
24.1%
Other Punctuation164502
 
15.5%
Dash Punctuation23426
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a69124
11.2%
o56209
 
9.1%
s50934
 
8.3%
t45629
 
7.4%
e41662
 
6.8%
p39799
 
6.5%
f39149
 
6.3%
i38516
 
6.2%
r37350
 
6.1%
l32493
 
5.3%
Other values (16)165863
26.9%
Decimal Number
ValueCountFrequency (%)
545314
17.7%
243213
16.9%
131587
12.3%
027439
10.7%
926653
10.4%
826442
10.3%
625608
10.0%
411133
 
4.4%
310829
 
4.2%
77584
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/127946
77.8%
.18278
 
11.1%
:18278
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
-23426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin616728
58.2%
Common443730
41.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a69124
11.2%
o56209
 
9.1%
s50934
 
8.3%
t45629
 
7.4%
e41662
 
6.8%
p39799
 
6.5%
f39149
 
6.3%
i38516
 
6.2%
r37350
 
6.1%
l32493
 
5.3%
Other values (16)165863
26.9%
Common
ValueCountFrequency (%)
/127946
28.8%
545314
 
10.2%
243213
 
9.7%
131587
 
7.1%
027439
 
6.2%
926653
 
6.0%
826442
 
6.0%
625608
 
5.8%
-23426
 
5.3%
.18278
 
4.1%
Other values (4)47824
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1060458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/127946
 
12.1%
a69124
 
6.5%
o56209
 
5.3%
s50934
 
4.8%
t45629
 
4.3%
545314
 
4.3%
243213
 
4.1%
e41662
 
3.9%
p39799
 
3.8%
f39149
 
3.7%
Other values (30)501479
47.3%

short_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct17354
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
J. Rodríguez
 
11
Paulinho
 
9
J. García
 
8
J. Williams
 
7
J. Hernández
 
7
Other values (17349)
18236 

Length

Max length22
Median length20
Mean length10.01871102
Min length2

Characters and Unicode

Total characters183122
Distinct characters137
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16658 ?
Unique (%)91.1%

Sample

1st rowL. Messi
2nd rowCristiano Ronaldo
3rd rowNeymar Jr
4th rowJ. Oblak
5th rowE. Hazard

Common Values

ValueCountFrequency (%)
J. Rodríguez11
 
0.1%
Paulinho9
 
< 0.1%
J. García8
 
< 0.1%
J. Williams7
 
< 0.1%
J. Hernández7
 
< 0.1%
J. Gómez6
 
< 0.1%
J. Clarke6
 
< 0.1%
J. Jones6
 
< 0.1%
R. González6
 
< 0.1%
M. Pedersen5
 
< 0.1%
Other values (17344)18207
99.6%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
m1790
 
4.9%
j1618
 
4.4%
a1561
 
4.3%
s1036
 
2.8%
d963
 
2.6%
l810
 
2.2%
r785
 
2.1%
c753
 
2.1%
f602
 
1.6%
t593
 
1.6%
Other values (13831)26168
71.3%

Most occurring characters

ValueCountFrequency (%)
18401
 
10.0%
.15294
 
8.4%
a14275
 
7.8%
e11522
 
6.3%
o9717
 
5.3%
i9566
 
5.2%
n9246
 
5.0%
r8913
 
4.9%
l6582
 
3.6%
s5472
 
3.0%
Other values (127)74134
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter112225
61.3%
Uppercase Letter36942
 
20.2%
Space Separator18401
 
10.0%
Other Punctuation15375
 
8.4%
Dash Punctuation174
 
0.1%
Other Symbol5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a14275
12.7%
e11522
10.3%
o9717
 
8.7%
i9566
 
8.5%
n9246
 
8.2%
r8913
 
7.9%
l6582
 
5.9%
s5472
 
4.9%
u4443
 
4.0%
t4108
 
3.7%
Other values (71)28381
25.3%
Uppercase Letter
ValueCountFrequency (%)
M3730
 
10.1%
A2976
 
8.1%
S2901
 
7.9%
J2420
 
6.6%
B2186
 
5.9%
C2168
 
5.9%
D2054
 
5.6%
L1832
 
5.0%
R1798
 
4.9%
G1625
 
4.4%
Other values (41)13252
35.9%
Other Punctuation
ValueCountFrequency (%)
.15294
99.5%
'81
 
0.5%
Space Separator
ValueCountFrequency (%)
18401
100.0%
Dash Punctuation
ValueCountFrequency (%)
-174
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin149167
81.5%
Common33955
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a14275
 
9.6%
e11522
 
7.7%
o9717
 
6.5%
i9566
 
6.4%
n9246
 
6.2%
r8913
 
6.0%
l6582
 
4.4%
s5472
 
3.7%
u4443
 
3.0%
t4108
 
2.8%
Other values (122)65323
43.8%
Common
ValueCountFrequency (%)
18401
54.2%
.15294
45.0%
-174
 
0.5%
'81
 
0.2%
5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII179578
98.1%
None3539
 
1.9%
Specials5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18401
 
10.2%
.15294
 
8.5%
a14275
 
7.9%
e11522
 
6.4%
o9717
 
5.4%
i9566
 
5.3%
n9246
 
5.1%
r8913
 
5.0%
l6582
 
3.7%
s5472
 
3.0%
Other values (46)70590
39.3%
None
ValueCountFrequency (%)
é461
13.0%
á451
 
12.7%
í371
 
10.5%
ć332
 
9.4%
ó200
 
5.7%
ü138
 
3.9%
ñ134
 
3.8%
ö133
 
3.8%
ú87
 
2.5%
ã83
 
2.3%
Other values (70)1149
32.5%
Specials
ValueCountFrequency (%)
5
100.0%

long_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct18218
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
Liam Kelly
 
3
Mathias Jørgensen
 
2
Tommy Smith
 
2
Luke McCormick
 
2
Michael Smith
 
2
Other values (18213)
18267 

Length

Max length49
Median length40
Mean length15.79084145
Min length2

Characters and Unicode

Total characters288625
Distinct characters1152
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18159 ?
Unique (%)99.3%

Sample

1st rowLionel Andrés Messi Cuccittini
2nd rowCristiano Ronaldo dos Santos Aveiro
3rd rowNeymar da Silva Santos Junior
4th rowJan Oblak
5th rowEden Hazard

Common Values

ValueCountFrequency (%)
Liam Kelly3
 
< 0.1%
Mathias Jørgensen2
 
< 0.1%
Tommy Smith2
 
< 0.1%
Luke McCormick2
 
< 0.1%
Michael Smith2
 
< 0.1%
Daniel Jones2
 
< 0.1%
Mihai Roman2
 
< 0.1%
이재성 李在成2
 
< 0.1%
Ladislav Krejčí2
 
< 0.1%
Greg Taylor2
 
< 0.1%
Other values (18208)18257
99.9%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
de250
 
0.6%
al219
 
0.5%
daniel209
 
0.5%
josé198
 
0.5%
david183
 
0.4%
silva178
 
0.4%
carlos154
 
0.4%
da148
 
0.3%
juan140
 
0.3%
luis122
 
0.3%
Other values (19242)41860
95.9%

Most occurring characters

ValueCountFrequency (%)
a28275
 
9.8%
25582
 
8.9%
e22179
 
7.7%
i18809
 
6.5%
o18618
 
6.5%
r18155
 
6.3%
n18083
 
6.3%
l12995
 
4.5%
s11241
 
3.9%
t7911
 
2.7%
Other values (1142)106777
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter216419
75.0%
Uppercase Letter42016
 
14.6%
Space Separator25583
 
8.9%
Other Letter4152
 
1.4%
Dash Punctuation295
 
0.1%
Other Punctuation149
 
0.1%
Modifier Letter8
 
< 0.1%
Final Punctuation2
 
< 0.1%
Format1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
1.5%
61
 
1.5%
54
 
1.3%
50
 
1.2%
48
 
1.2%
44
 
1.1%
41
 
1.0%
33
 
0.8%
28
 
0.7%
28
 
0.7%
Other values (996)3703
89.2%
Lowercase Letter
ValueCountFrequency (%)
a28275
13.1%
e22179
10.2%
i18809
 
8.7%
o18618
 
8.6%
r18155
 
8.4%
n18083
 
8.4%
l12995
 
6.0%
s11241
 
5.2%
t7911
 
3.7%
u7704
 
3.6%
Other values (72)52449
24.2%
Uppercase Letter
ValueCountFrequency (%)
M4429
 
10.5%
A3802
 
9.0%
S3264
 
7.8%
J2746
 
6.5%
C2578
 
6.1%
B2431
 
5.8%
D2317
 
5.5%
R2202
 
5.2%
L2039
 
4.9%
G1965
 
4.7%
Other values (43)14243
33.9%
Other Punctuation
ValueCountFrequency (%)
'100
67.1%
.39
 
26.2%
·8
 
5.4%
2
 
1.3%
Space Separator
ValueCountFrequency (%)
25582
> 99.9%
 1
 
< 0.1%
Modifier Letter
ValueCountFrequency (%)
6
75.0%
2
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
-295
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Format
ValueCountFrequency (%)
­1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin258435
89.5%
Common26036
 
9.0%
Han3204
 
1.1%
Hangul906
 
0.3%
Katakana44
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
62
 
1.9%
54
 
1.7%
50
 
1.6%
44
 
1.4%
41
 
1.3%
33
 
1.0%
28
 
0.9%
27
 
0.8%
26
 
0.8%
25
 
0.8%
Other values (828)2814
87.8%
Hangul
ValueCountFrequency (%)
61
 
6.7%
48
 
5.3%
28
 
3.1%
28
 
3.1%
26
 
2.9%
24
 
2.6%
24
 
2.6%
21
 
2.3%
21
 
2.3%
19
 
2.1%
Other values (129)606
66.9%
Latin
ValueCountFrequency (%)
a28275
 
10.9%
e22179
 
8.6%
i18809
 
7.3%
o18618
 
7.2%
r18155
 
7.0%
n18083
 
7.0%
l12995
 
5.0%
s11241
 
4.3%
t7911
 
3.1%
u7704
 
3.0%
Other values (125)94465
36.6%
Katakana
ValueCountFrequency (%)
4
 
9.1%
3
 
6.8%
3
 
6.8%
2
 
4.5%
2
 
4.5%
2
 
4.5%
2
 
4.5%
2
 
4.5%
2
 
4.5%
2
 
4.5%
Other values (20)20
45.5%
Common
ValueCountFrequency (%)
25582
98.3%
-295
 
1.1%
'100
 
0.4%
.39
 
0.1%
·8
 
< 0.1%
6
 
< 0.1%
2
 
< 0.1%
2
 
< 0.1%
­1
 
< 0.1%
 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII277810
96.3%
None6653
 
2.3%
CJK3201
 
1.1%
Hangul906
 
0.3%
Katakana52
 
< 0.1%
Punctuation2
 
< 0.1%
CJK Compat Ideographs1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a28275
 
10.2%
25582
 
9.2%
e22179
 
8.0%
i18809
 
6.8%
o18618
 
6.7%
r18155
 
6.5%
n18083
 
6.5%
l12995
 
4.7%
s11241
 
4.0%
t7911
 
2.8%
Other values (46)95962
34.5%
None
ValueCountFrequency (%)
é1193
17.9%
á1129
17.0%
í896
13.5%
ó415
 
6.2%
ć340
 
5.1%
ú219
 
3.3%
ñ216
 
3.2%
ö161
 
2.4%
ü161
 
2.4%
Á134
 
2.0%
Other values (77)1789
26.9%
CJK
ValueCountFrequency (%)
62
 
1.9%
54
 
1.7%
50
 
1.6%
44
 
1.4%
41
 
1.3%
33
 
1.0%
28
 
0.9%
27
 
0.8%
26
 
0.8%
25
 
0.8%
Other values (826)2811
87.8%
Hangul
ValueCountFrequency (%)
61
 
6.7%
48
 
5.3%
28
 
3.1%
28
 
3.1%
26
 
2.9%
24
 
2.6%
24
 
2.6%
21
 
2.3%
21
 
2.3%
19
 
2.1%
Other values (129)606
66.9%
Katakana
ValueCountFrequency (%)
6
 
11.5%
4
 
7.7%
3
 
5.8%
3
 
5.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
Other values (22)24
46.2%
Punctuation
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

age
Real number (ℝ≥0)

HIGH CORRELATION

Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.28329139
Minimum16
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum16
5-th percentile19
Q122
median25
Q329
95-th percentile33
Maximum42
Range26
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.656964498
Coefficient of variation (CV)0.1841913866
Kurtosis-0.5313659318
Mean25.28329139
Median Absolute Deviation (MAD)4
Skewness0.3806197608
Sum462128
Variance21.68731833
MonotonicityNot monotonic
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
221446
 
7.9%
211375
 
7.5%
231358
 
7.4%
271324
 
7.2%
251319
 
7.2%
241296
 
7.1%
261270
 
6.9%
201247
 
6.8%
281086
 
5.9%
191011
 
5.5%
Other values (17)5546
30.3%
ValueCountFrequency (%)
1612
 
0.1%
17229
 
1.3%
18640
3.5%
191011
5.5%
201247
6.8%
211375
7.5%
221446
7.9%
231358
7.4%
241296
7.1%
251319
7.2%
ValueCountFrequency (%)
422
 
< 0.1%
414
 
< 0.1%
4013
 
0.1%
3920
 
0.1%
3842
 
0.2%
3781
 
0.4%
36131
 
0.7%
35310
1.7%
34301
1.6%
33475
2.6%

dob
Categorical

HIGH CARDINALITY

Distinct6142
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
1992-02-29
 
113
1984-02-29
 
111
1988-02-29
 
110
1997-01-01
 
15
2001-01-01
 
13
Other values (6137)
17916 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters182780
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1683 ?
Unique (%)9.2%

Sample

1st row1987-06-24
2nd row1985-02-05
3rd row1992-02-05
4th row1993-01-07
5th row1991-01-07

Common Values

ValueCountFrequency (%)
1992-02-29113
 
0.6%
1984-02-29111
 
0.6%
1988-02-29110
 
0.6%
1997-01-0115
 
0.1%
2001-01-0113
 
0.1%
1995-04-1911
 
0.1%
1991-01-0811
 
0.1%
1997-04-0911
 
0.1%
1997-03-1611
 
0.1%
1990-03-2711
 
0.1%
Other values (6132)17861
97.7%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
1992-02-29113
 
0.6%
1984-02-29111
 
0.6%
1988-02-29110
 
0.6%
1997-01-0115
 
0.1%
2001-01-0113
 
0.1%
1990-03-2711
 
0.1%
1993-03-0511
 
0.1%
1993-01-1511
 
0.1%
1994-09-0811
 
0.1%
1996-11-1111
 
0.1%
Other values (6132)17861
97.7%

Most occurring characters

ValueCountFrequency (%)
-36556
20.0%
935137
19.2%
133229
18.2%
028096
15.4%
214016
 
7.7%
89445
 
5.2%
35790
 
3.2%
75389
 
2.9%
55051
 
2.8%
45042
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number146224
80.0%
Dash Punctuation36556
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
935137
24.0%
133229
22.7%
028096
19.2%
214016
 
9.6%
89445
 
6.5%
35790
 
4.0%
75389
 
3.7%
55051
 
3.5%
45042
 
3.4%
65029
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
-36556
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common182780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
-36556
20.0%
935137
19.2%
133229
18.2%
028096
15.4%
214016
 
7.7%
89445
 
5.2%
35790
 
3.2%
75389
 
2.9%
55051
 
2.8%
45042
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII182780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
-36556
20.0%
935137
19.2%
133229
18.2%
028096
15.4%
214016
 
7.7%
89445
 
5.2%
35790
 
3.2%
75389
 
2.9%
55051
 
2.8%
45042
 
2.8%

height_cm
Real number (ℝ≥0)

HIGH CORRELATION

Distinct49
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.362184
Minimum156
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum156
5-th percentile170
Q1177
median181
Q3186
95-th percentile192
Maximum205
Range49
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.756961364
Coefficient of variation (CV)0.03725672691
Kurtosis-0.3034615282
Mean181.362184
Median Absolute Deviation (MAD)5
Skewness-0.03819688576
Sum3314938
Variance45.65652687
MonotonicityNot monotonic
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1801468
 
8.0%
1781213
 
6.6%
1851193
 
6.5%
1831160
 
6.3%
175990
 
5.4%
188904
 
4.9%
182833
 
4.6%
184820
 
4.5%
186774
 
4.2%
177722
 
4.0%
Other values (39)8201
44.9%
ValueCountFrequency (%)
1561
 
< 0.1%
1571
 
< 0.1%
1583
 
< 0.1%
1593
 
< 0.1%
1603
 
< 0.1%
1615
 
< 0.1%
16212
 
0.1%
16329
0.2%
16421
 
0.1%
16568
0.4%
ValueCountFrequency (%)
2051
 
< 0.1%
2036
 
< 0.1%
2024
 
< 0.1%
20111
 
0.1%
20010
 
0.1%
19914
 
0.1%
19835
 
0.2%
19751
 
0.3%
196139
0.8%
195136
0.7%

weight_kg
Real number (ℝ≥0)

HIGH CORRELATION

Distinct56
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.27634314
Minimum50
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum50
5-th percentile64
Q170
median75
Q380
95-th percentile87
Maximum110
Range60
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.04774357
Coefficient of variation (CV)0.09362494611
Kurtosis0.04165117967
Mean75.27634314
Median Absolute Deviation (MAD)5
Skewness0.2208023501
Sum1375901
Variance49.67068943
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701455
 
8.0%
751410
 
7.7%
801060
 
5.8%
781005
 
5.5%
72983
 
5.4%
73948
 
5.2%
74890
 
4.9%
77880
 
4.8%
76860
 
4.7%
68707
 
3.9%
Other values (46)8080
44.2%
ValueCountFrequency (%)
501
 
< 0.1%
522
 
< 0.1%
532
 
< 0.1%
546
 
< 0.1%
556
 
< 0.1%
5613
 
0.1%
5715
 
0.1%
5835
 
0.2%
5936
 
0.2%
60142
0.8%
ValueCountFrequency (%)
1101
 
< 0.1%
1071
 
< 0.1%
1042
 
< 0.1%
1033
 
< 0.1%
1023
 
< 0.1%
1014
 
< 0.1%
1002
 
< 0.1%
993
 
< 0.1%
9810
0.1%
9712
0.1%

nationality
Categorical

HIGH CARDINALITY

Distinct162
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
England
1667 
Germany
 
1216
Spain
 
1035
France
 
984
Argentina
 
886
Other values (157)
12490 

Length

Max length20
Median length19
Mean length7.610898348
Min length4

Characters and Unicode

Total characters139112
Distinct characters55
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)0.1%

Sample

1st rowArgentina
2nd rowPortugal
3rd rowBrazil
4th rowSlovenia
5th rowBelgium

Common Values

ValueCountFrequency (%)
England1667
 
9.1%
Germany1216
 
6.7%
Spain1035
 
5.7%
France984
 
5.4%
Argentina886
 
4.8%
Brazil824
 
4.5%
Italy732
 
4.0%
Colombia591
 
3.2%
Japan453
 
2.5%
Netherlands416
 
2.3%
Other values (152)9474
51.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
england1667
 
7.9%
germany1216
 
5.8%
spain1035
 
4.9%
france984
 
4.7%
argentina886
 
4.2%
brazil824
 
3.9%
republic776
 
3.7%
italy732
 
3.5%
colombia591
 
2.8%
japan453
 
2.1%
Other values (180)11913
56.5%

Most occurring characters

ValueCountFrequency (%)
a18787
 
13.5%
n13863
 
10.0%
e11004
 
7.9%
r9409
 
6.8%
i9351
 
6.7%
l8319
 
6.0%
o5666
 
4.1%
t5057
 
3.6%
d4798
 
3.4%
g4083
 
2.9%
Other values (45)48775
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter115105
82.7%
Uppercase Letter21190
 
15.2%
Space Separator2799
 
2.0%
Other Punctuation18
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a18787
16.3%
n13863
12.0%
e11004
9.6%
r9409
 
8.2%
i9351
 
8.1%
l8319
 
7.2%
o5666
 
4.9%
t5057
 
4.4%
d4798
 
4.2%
g4083
 
3.5%
Other values (19)24768
21.5%
Uppercase Letter
ValueCountFrequency (%)
S3040
14.3%
C1976
9.3%
A1941
9.2%
E1790
8.4%
R1632
 
7.7%
G1577
 
7.4%
I1377
 
6.5%
B1291
 
6.1%
P1180
 
5.6%
F1097
 
5.2%
Other values (13)4289
20.2%
Other Punctuation
ValueCountFrequency (%)
&14
77.8%
.4
 
22.2%
Space Separator
ValueCountFrequency (%)
2799
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin136295
98.0%
Common2817
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a18787
13.8%
n13863
 
10.2%
e11004
 
8.1%
r9409
 
6.9%
i9351
 
6.9%
l8319
 
6.1%
o5666
 
4.2%
t5057
 
3.7%
d4798
 
3.5%
g4083
 
3.0%
Other values (42)45958
33.7%
Common
ValueCountFrequency (%)
2799
99.4%
&14
 
0.5%
.4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII139109
> 99.9%
None3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a18787
 
13.5%
n13863
 
10.0%
e11004
 
7.9%
r9409
 
6.8%
i9351
 
6.7%
l8319
 
6.0%
o5666
 
4.1%
t5057
 
3.6%
d4798
 
3.4%
g4083
 
2.9%
Other values (42)48772
35.1%
None
ValueCountFrequency (%)
ã1
33.3%
é1
33.3%
í1
33.3%

club
Categorical

HIGH CARDINALITY

Distinct698
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
FC Barcelona
 
33
Real Valladolid CF
 
33
VfL Wolfsburg
 
33
Crystal Palace
 
33
Eintracht Frankfurt
 
33
Other values (693)
18113 

Length

Max length35
Median length24
Mean length13.20593063
Min length3

Characters and Unicode

Total characters241378
Distinct characters102
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st rowFC Barcelona
2nd rowJuventus
3rd rowParis Saint-Germain
4th rowAtlético Madrid
5th rowReal Madrid

Common Values

ValueCountFrequency (%)
FC Barcelona33
 
0.2%
Real Valladolid CF33
 
0.2%
VfL Wolfsburg33
 
0.2%
Crystal Palace33
 
0.2%
Eintracht Frankfurt33
 
0.2%
Hertha BSC33
 
0.2%
Leicester City33
 
0.2%
AS Monaco33
 
0.2%
SC Paderborn 0733
 
0.2%
Sevilla FC33
 
0.2%
Other values (688)17948
98.2%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
fc3018
 
7.7%
de662
 
1.7%
city557
 
1.4%
united551
 
1.4%
club512
 
1.3%
al398
 
1.0%
cd376
 
1.0%
atlético371
 
1.0%
town303
 
0.8%
sk286
 
0.7%
Other values (993)32011
82.0%

Most occurring characters

ValueCountFrequency (%)
20792
 
8.6%
a19447
 
8.1%
e18639
 
7.7%
n14826
 
6.1%
i13441
 
5.6%
o12960
 
5.4%
r12895
 
5.3%
l10812
 
4.5%
t10755
 
4.5%
s8304
 
3.4%
Other values (92)98507
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter170029
70.4%
Uppercase Letter47820
 
19.8%
Space Separator20792
 
8.6%
Decimal Number1582
 
0.7%
Other Punctuation826
 
0.3%
Dash Punctuation275
 
0.1%
Open Punctuation27
 
< 0.1%
Close Punctuation27
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a19447
11.4%
e18639
11.0%
n14826
 
8.7%
i13441
 
7.9%
o12960
 
7.6%
r12895
 
7.6%
l10812
 
6.4%
t10755
 
6.3%
s8304
 
4.9%
d6300
 
3.7%
Other values (43)41650
24.5%
Uppercase Letter
ValueCountFrequency (%)
C8071
16.9%
F5332
 
11.2%
S4938
 
10.3%
A3530
 
7.4%
B2230
 
4.7%
K1965
 
4.1%
M1856
 
3.9%
R1757
 
3.7%
D1733
 
3.6%
L1728
 
3.6%
Other values (21)14680
30.7%
Decimal Number
ValueCountFrequency (%)
1411
26.0%
8258
16.3%
9230
14.5%
0230
14.5%
4139
 
8.8%
6112
 
7.1%
383
 
5.2%
561
 
3.9%
733
 
2.1%
225
 
1.6%
Other Punctuation
ValueCountFrequency (%)
.652
78.9%
'87
 
10.5%
&60
 
7.3%
/27
 
3.3%
Space Separator
ValueCountFrequency (%)
20792
100.0%
Dash Punctuation
ValueCountFrequency (%)
-275
100.0%
Open Punctuation
ValueCountFrequency (%)
(27
100.0%
Close Punctuation
ValueCountFrequency (%)
)27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin217849
90.3%
Common23529
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a19447
 
8.9%
e18639
 
8.6%
n14826
 
6.8%
i13441
 
6.2%
o12960
 
5.9%
r12895
 
5.9%
l10812
 
5.0%
t10755
 
4.9%
s8304
 
3.8%
C8071
 
3.7%
Other values (74)87699
40.3%
Common
ValueCountFrequency (%)
20792
88.4%
.652
 
2.8%
1411
 
1.7%
-275
 
1.2%
8258
 
1.1%
9230
 
1.0%
0230
 
1.0%
4139
 
0.6%
6112
 
0.5%
'87
 
0.4%
Other values (8)343
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII237765
98.5%
None3613
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20792
 
8.7%
a19447
 
8.2%
e18639
 
7.8%
n14826
 
6.2%
i13441
 
5.7%
o12960
 
5.5%
r12895
 
5.4%
l10812
 
4.5%
t10755
 
4.5%
s8304
 
3.5%
Other values (60)94894
39.9%
None
ValueCountFrequency (%)
é595
16.5%
ó486
13.5%
ü321
 
8.9%
ş308
 
8.5%
ö243
 
6.7%
ø207
 
5.7%
á206
 
5.7%
ł134
 
3.7%
í133
 
3.7%
ú116
 
3.2%
Other values (22)864
23.9%

overall
Real number (ℝ≥0)

HIGH CORRELATION

Distinct47
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.24499398
Minimum48
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum48
5-th percentile54
Q162
median66
Q371
95-th percentile78
Maximum94
Range46
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.949953255
Coefficient of variation (CV)0.1049128823
Kurtosis0.05761583099
Mean66.24499398
Median Absolute Deviation (MAD)4
Skewness0.07089343292
Sum1210826
Variance48.30185025
MonotonicityDecreasing
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
661141
 
6.2%
641138
 
6.2%
651124
 
6.1%
681068
 
5.8%
671065
 
5.8%
69964
 
5.3%
63946
 
5.2%
70902
 
4.9%
62873
 
4.8%
72753
 
4.1%
Other values (37)8304
45.4%
ValueCountFrequency (%)
4843
 
0.2%
4966
 
0.4%
50103
 
0.6%
51117
 
0.6%
52169
0.9%
53197
1.1%
54232
1.3%
55274
1.5%
56360
2.0%
57360
2.0%
ValueCountFrequency (%)
941
 
< 0.1%
931
 
< 0.1%
921
 
< 0.1%
913
 
< 0.1%
904
 
< 0.1%
8913
 
0.1%
8817
0.1%
8715
0.1%
8618
0.1%
8535
0.2%

potential
Real number (ℝ≥0)

HIGH CORRELATION

Distinct47
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.54688697
Minimum49
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum49
5-th percentile62
Q167
median71
Q375
95-th percentile82.15
Maximum95
Range46
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.139669075
Coefficient of variation (CV)0.08581322452
Kurtosis-0.0188951529
Mean71.54688697
Median Absolute Deviation (MAD)4
Skewness0.2499407813
Sum1307734
Variance37.69553635
MonotonicityNot monotonic
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
701226
 
6.7%
681195
 
6.5%
731140
 
6.2%
721131
 
6.2%
711118
 
6.1%
691111
 
6.1%
741022
 
5.6%
67987
 
5.4%
75972
 
5.3%
66882
 
4.8%
Other values (37)7494
41.0%
ValueCountFrequency (%)
492
 
< 0.1%
502
 
< 0.1%
514
 
< 0.1%
523
 
< 0.1%
536
 
< 0.1%
547
 
< 0.1%
5517
 
0.1%
5626
 
0.1%
5743
0.2%
5868
0.4%
ValueCountFrequency (%)
951
 
< 0.1%
941
 
< 0.1%
935
 
< 0.1%
927
 
< 0.1%
919
 
< 0.1%
9016
 
0.1%
8937
 
0.2%
8845
 
0.2%
8770
0.4%
86116
0.6%

value_eur
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct214
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2484037.641
Minimum0
Maximum105500000
Zeros250
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum0
5-th percentile90000
Q1325000
median700000
Q32100000
95-th percentile10500000
Maximum105500000
Range105500000
Interquartile range (IQR)1775000

Descriptive statistics

Standard deviation5585481.061
Coefficient of variation (CV)2.248549285
Kurtosis62.10486776
Mean2484037.641
Median Absolute Deviation (MAD)500000
Skewness6.425940918
Sum4.540324 × 1010
Variance3.119759869 × 1013
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1100000491
 
2.7%
325000384
 
2.1%
450000358
 
2.0%
1200000346
 
1.9%
425000339
 
1.9%
1000000325
 
1.8%
525000322
 
1.8%
375000317
 
1.7%
400000313
 
1.7%
475000312
 
1.7%
Other values (204)14771
80.8%
ValueCountFrequency (%)
0250
1.4%
100004
 
< 0.1%
200008
 
< 0.1%
3000028
 
0.2%
4000052
 
0.3%
50000110
0.6%
60000140
0.8%
7000097
 
0.5%
80000134
0.7%
90000131
0.7%
ValueCountFrequency (%)
1055000001
< 0.1%
955000001
< 0.1%
935000001
< 0.1%
900000002
< 0.1%
830000001
< 0.1%
805000001
< 0.1%
780000001
< 0.1%
775000001
< 0.1%
765000001
< 0.1%
730000001
< 0.1%

wage_eur
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct141
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9456.942773
Minimum0
Maximum565000
Zeros240
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum0
5-th percentile1000
Q11000
median3000
Q38000
95-th percentile38000
Maximum565000
Range565000
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation21351.7141
Coefficient of variation (CV)2.257781887
Kurtosis100.3378562
Mean9456.942773
Median Absolute Deviation (MAD)2000
Skewness7.821095908
Sum172854000
Variance455895694.8
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10004976
27.2%
20002967
16.2%
30001825
 
10.0%
40001303
 
7.1%
5000891
 
4.9%
6000639
 
3.5%
7000548
 
3.0%
8000439
 
2.4%
9000330
 
1.8%
10000283
 
1.5%
Other values (131)4077
22.3%
ValueCountFrequency (%)
0240
 
1.3%
10004976
27.2%
20002967
16.2%
30001825
 
10.0%
40001303
 
7.1%
5000891
 
4.9%
6000639
 
3.5%
7000548
 
3.0%
8000439
 
2.4%
9000330
 
1.8%
ValueCountFrequency (%)
5650001
 
< 0.1%
4700001
 
< 0.1%
4050001
 
< 0.1%
3700002
< 0.1%
3550001
 
< 0.1%
3400001
 
< 0.1%
3300001
 
< 0.1%
3000003
< 0.1%
2900001
 
< 0.1%
2850002
< 0.1%

player_positions
Categorical

HIGH CARDINALITY

Distinct643
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
CB
2322 
GK
2036 
ST
1809 
CM
 
786
CDM, CM
 
731
Other values (638)
10594 

Length

Max length12
Median length11
Mean length4.751230988
Min length2

Characters and Unicode

Total characters86843
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)1.2%

Sample

1st rowRW, CF, ST
2nd rowST, LW
3rd rowLW, CAM
4th rowGK
5th rowLW, CF

Common Values

ValueCountFrequency (%)
CB2322
 
12.7%
GK2036
 
11.1%
ST1809
 
9.9%
CM786
 
4.3%
CDM, CM731
 
4.0%
CM, CDM682
 
3.7%
LB669
 
3.7%
RB587
 
3.2%
CDM363
 
2.0%
CAM291
 
1.6%
Other values (633)8002
43.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
cm3829
13.0%
cb3736
12.7%
st3255
11.0%
cdm2728
9.3%
lm2409
8.2%
rm2315
7.9%
cam2190
7.4%
gk2036
6.9%
lb2012
6.8%
rb2005
6.8%
Other values (5)2952
10.0%

Most occurring characters

ValueCountFrequency (%)
M13471
15.5%
C12863
14.8%
,11189
12.9%
11189
12.9%
B8366
9.6%
L5717
6.6%
R5596
6.4%
S3255
 
3.7%
T3255
 
3.7%
D2728
 
3.1%
Other values (5)9214
10.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter64465
74.2%
Other Punctuation11189
 
12.9%
Space Separator11189
 
12.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M13471
20.9%
C12863
20.0%
B8366
13.0%
L5717
8.9%
R5596
8.7%
S3255
 
5.0%
T3255
 
5.0%
D2728
 
4.2%
W2572
 
4.0%
A2190
 
3.4%
Other values (3)4452
 
6.9%
Other Punctuation
ValueCountFrequency (%)
,11189
100.0%
Space Separator
ValueCountFrequency (%)
11189
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin64465
74.2%
Common22378
 
25.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
M13471
20.9%
C12863
20.0%
B8366
13.0%
L5717
8.9%
R5596
8.7%
S3255
 
5.0%
T3255
 
5.0%
D2728
 
4.2%
W2572
 
4.0%
A2190
 
3.4%
Other values (3)4452
 
6.9%
Common
ValueCountFrequency (%)
,11189
50.0%
11189
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII86843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M13471
15.5%
C12863
14.8%
,11189
12.9%
11189
12.9%
B8366
9.6%
L5717
6.6%
R5596
6.4%
S3255
 
3.7%
T3255
 
3.7%
D2728
 
3.1%
Other values (5)9214
10.6%

preferred_foot
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
Right
13960 
Left
4318 

Length

Max length5
Median length5
Mean length4.763759711
Min length4

Characters and Unicode

Total characters87072
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLeft
2nd rowRight
3rd rowRight
4th rowRight
5th rowRight

Common Values

ValueCountFrequency (%)
Right13960
76.4%
Left4318
 
23.6%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
right13960
76.4%
left4318
 
23.6%

Most occurring characters

ValueCountFrequency (%)
t18278
21.0%
R13960
16.0%
i13960
16.0%
g13960
16.0%
h13960
16.0%
L4318
 
5.0%
e4318
 
5.0%
f4318
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter68794
79.0%
Uppercase Letter18278
 
21.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t18278
26.6%
i13960
20.3%
g13960
20.3%
h13960
20.3%
e4318
 
6.3%
f4318
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
R13960
76.4%
L4318
 
23.6%

Most occurring scripts

ValueCountFrequency (%)
Latin87072
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t18278
21.0%
R13960
16.0%
i13960
16.0%
g13960
16.0%
h13960
16.0%
L4318
 
5.0%
e4318
 
5.0%
f4318
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII87072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t18278
21.0%
R13960
16.0%
i13960
16.0%
g13960
16.0%
h13960
16.0%
L4318
 
5.0%
e4318
 
5.0%
f4318
 
5.0%

international_reputation
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
1
16794 
2
 
1140
3
 
292
4
 
46
5
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters18278
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
116794
91.9%
21140
 
6.2%
3292
 
1.6%
446
 
0.3%
56
 
< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
116794
91.9%
21140
 
6.2%
3292
 
1.6%
446
 
0.3%
56
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
116794
91.9%
21140
 
6.2%
3292
 
1.6%
446
 
0.3%
56
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number18278
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
116794
91.9%
21140
 
6.2%
3292
 
1.6%
446
 
0.3%
56
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common18278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
116794
91.9%
21140
 
6.2%
3292
 
1.6%
446
 
0.3%
56
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII18278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116794
91.9%
21140
 
6.2%
3292
 
1.6%
446
 
0.3%
56
 
< 0.1%

weak_foot
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
3
11347 
2
3865 
4
2666 
5
 
245
1
 
155

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters18278
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
311347
62.1%
23865
 
21.1%
42666
 
14.6%
5245
 
1.3%
1155
 
0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
311347
62.1%
23865
 
21.1%
42666
 
14.6%
5245
 
1.3%
1155
 
0.8%

Most occurring characters

ValueCountFrequency (%)
311347
62.1%
23865
 
21.1%
42666
 
14.6%
5245
 
1.3%
1155
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number18278
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
311347
62.1%
23865
 
21.1%
42666
 
14.6%
5245
 
1.3%
1155
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common18278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
311347
62.1%
23865
 
21.1%
42666
 
14.6%
5245
 
1.3%
1155
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII18278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311347
62.1%
23865
 
21.1%
42666
 
14.6%
5245
 
1.3%
1155
 
0.8%

skill_moves
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
2
8617 
3
6536 
1
2036 
4
1040 
5
 
49

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters18278
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row5
3rd row5
4th row1
5th row4

Common Values

ValueCountFrequency (%)
28617
47.1%
36536
35.8%
12036
 
11.1%
41040
 
5.7%
549
 
0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
28617
47.1%
36536
35.8%
12036
 
11.1%
41040
 
5.7%
549
 
0.3%

Most occurring characters

ValueCountFrequency (%)
28617
47.1%
36536
35.8%
12036
 
11.1%
41040
 
5.7%
549
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number18278
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
28617
47.1%
36536
35.8%
12036
 
11.1%
41040
 
5.7%
549
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common18278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
28617
47.1%
36536
35.8%
12036
 
11.1%
41040
 
5.7%
549
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII18278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28617
47.1%
36536
35.8%
12036
 
11.1%
41040
 
5.7%
549
 
0.3%

work_rate
Categorical

HIGH CORRELATION

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
Medium/Medium
9875 
High/Medium
3216 
Medium/High
1718 
High/High
 
986
Medium/Low
 
886
Other values (4)
1597 

Length

Max length13
Median length13
Mean length11.71058103
Min length7

Characters and Unicode

Total characters214046
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMedium/Low
2nd rowHigh/Low
3rd rowHigh/Medium
4th rowMedium/Medium
5th rowHigh/Medium

Common Values

ValueCountFrequency (%)
Medium/Medium9875
54.0%
High/Medium3216
 
17.6%
Medium/High1718
 
9.4%
High/High986
 
5.4%
Medium/Low886
 
4.8%
High/Low684
 
3.7%
Low/Medium461
 
2.5%
Low/High417
 
2.3%
Low/Low35
 
0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
medium/medium9875
54.0%
high/medium3216
 
17.6%
medium/high1718
 
9.4%
high/high986
 
5.4%
medium/low886
 
4.8%
high/low684
 
3.7%
low/medium461
 
2.5%
low/high417
 
2.3%
low/low35
 
0.2%

Most occurring characters

ValueCountFrequency (%)
i34038
15.9%
M26031
12.2%
e26031
12.2%
d26031
12.2%
u26031
12.2%
m26031
12.2%
/18278
8.5%
H8007
 
3.7%
g8007
 
3.7%
h8007
 
3.7%
Other values (3)7554
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter159212
74.4%
Uppercase Letter36556
 
17.1%
Other Punctuation18278
 
8.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i34038
21.4%
e26031
16.3%
d26031
16.3%
u26031
16.3%
m26031
16.3%
g8007
 
5.0%
h8007
 
5.0%
o2518
 
1.6%
w2518
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
M26031
71.2%
H8007
 
21.9%
L2518
 
6.9%
Other Punctuation
ValueCountFrequency (%)
/18278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin195768
91.5%
Common18278
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i34038
17.4%
M26031
13.3%
e26031
13.3%
d26031
13.3%
u26031
13.3%
m26031
13.3%
H8007
 
4.1%
g8007
 
4.1%
h8007
 
4.1%
L2518
 
1.3%
Other values (2)5036
 
2.6%
Common
ValueCountFrequency (%)
/18278
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII214046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i34038
15.9%
M26031
12.2%
e26031
12.2%
d26031
12.2%
u26031
12.2%
m26031
12.2%
/18278
8.5%
H8007
 
3.7%
g8007
 
3.7%
h8007
 
3.7%
Other values (3)7554
 
3.5%

body_type
Categorical

HIGH CORRELATION

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size142.9 KiB
Normal
10750 
Lean
6505 
Stocky
 
1016
Messi
 
1
C. Ronaldo
 
1
Other values (5)
 
5

Length

Max length19
Median length6
Mean length5.289418974
Min length4

Characters and Unicode

Total characters96680
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st rowMessi
2nd rowC. Ronaldo
3rd rowNeymar
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal10750
58.8%
Lean6505
35.6%
Stocky1016
 
5.6%
Messi1
 
< 0.1%
C. Ronaldo1
 
< 0.1%
Neymar1
 
< 0.1%
PLAYER_BODY_TYPE_251
 
< 0.1%
Courtois1
 
< 0.1%
Shaqiri1
 
< 0.1%
Akinfenwa1
 
< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
normal10750
58.8%
lean6505
35.6%
stocky1016
 
5.6%
messi1
 
< 0.1%
c1
 
< 0.1%
ronaldo1
 
< 0.1%
neymar1
 
< 0.1%
player_body_type_251
 
< 0.1%
courtois1
 
< 0.1%
shaqiri1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
a17259
17.9%
o11770
12.2%
r10753
11.1%
N10751
11.1%
m10751
11.1%
l10751
11.1%
e6508
 
6.7%
n6508
 
6.7%
L6506
 
6.7%
S1017
 
1.1%
Other values (28)4106
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter78381
81.1%
Uppercase Letter18292
 
18.9%
Connector Punctuation3
 
< 0.1%
Decimal Number2
 
< 0.1%
Space Separator1
 
< 0.1%
Other Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a17259
22.0%
o11770
15.0%
r10753
13.7%
m10751
13.7%
l10751
13.7%
e6508
 
8.3%
n6508
 
8.3%
t1017
 
1.3%
k1017
 
1.3%
y1017
 
1.3%
Other values (9)1030
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
N10751
58.8%
L6506
35.6%
S1017
 
5.6%
Y3
 
< 0.1%
C2
 
< 0.1%
R2
 
< 0.1%
P2
 
< 0.1%
A2
 
< 0.1%
E2
 
< 0.1%
T1
 
< 0.1%
Other values (4)4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
51
50.0%
21
50.0%
Connector Punctuation
ValueCountFrequency (%)
_3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
.1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin96673
> 99.9%
Common7
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a17259
17.9%
o11770
12.2%
r10753
11.1%
N10751
11.1%
m10751
11.1%
l10751
11.1%
e6508
 
6.7%
n6508
 
6.7%
L6506
 
6.7%
S1017
 
1.1%
Other values (23)4099
 
4.2%
Common
ValueCountFrequency (%)
_3
42.9%
51
 
14.3%
21
 
14.3%
1
 
14.3%
.1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII96680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a17259
17.9%
o11770
12.2%
r10753
11.1%
N10751
11.1%
m10751
11.1%
l10751
11.1%
e6508
 
6.7%
n6508
 
6.7%
L6506
 
6.7%
S1017
 
1.1%
Other values (28)4106
 
4.2%

real_face
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
False
16310 
True
1968 
ValueCountFrequency (%)
False16310
89.2%
True1968
 
10.8%

release_clause_eur
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct1224
Distinct (%)7.2%
Missing1298
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean4740717.432
Minimum13000
Maximum195800000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum13000
5-th percentile180000
Q1563000
median1200000
Q33700000
95-th percentile20400000
Maximum195800000
Range195787000
Interquartile range (IQR)3137000

Descriptive statistics

Standard deviation11030016.29
Coefficient of variation (CV)2.326655501
Kurtosis62.70264411
Mean4740717.432
Median Absolute Deviation (MAD)843000
Skewness6.460915827
Sum8.0497382 × 1010
Variance1.216612594 × 1014
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1100000535
 
2.9%
1300000447
 
2.4%
1200000402
 
2.2%
1400000394
 
2.2%
1500000344
 
1.9%
1600000330
 
1.8%
1700000324
 
1.8%
1000000308
 
1.7%
1800000245
 
1.3%
1900000222
 
1.2%
Other values (1214)13429
73.5%
(Missing)1298
 
7.1%
ValueCountFrequency (%)
130002
< 0.1%
180002
< 0.1%
250001
 
< 0.1%
290001
 
< 0.1%
310002
< 0.1%
330003
< 0.1%
350001
 
< 0.1%
380002
< 0.1%
400001
 
< 0.1%
410001
 
< 0.1%
ValueCountFrequency (%)
1958000001
< 0.1%
1952000001
< 0.1%
1917000001
< 0.1%
1845000001
< 0.1%
1665000001
< 0.1%
1647000001
< 0.1%
1598000001
< 0.1%
1502000001
< 0.1%
1489000001
< 0.1%
1434000001
< 0.1%

player_tags
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct83
Distinct (%)5.5%
Missing16779
Missing (%)91.8%
Memory size142.9 KiB
#Strength
514 
#Acrobat
238 
#Engine
209 
#Speedster
156 
#Speedster, #Acrobat
66 
Other values (78)
316 

Length

Max length132
Median length129
Mean length12.56571047
Min length7

Characters and Unicode

Total characters18836
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)3.3%

Sample

1st row#Dribbler, #Distance Shooter, #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete Forward
2nd row#Speedster, #Dribbler, #Distance Shooter, #Acrobat, #Clinical Finisher, #Complete Forward
3rd row#Speedster, #Dribbler, #Playmaker  , #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete Midfielder, #Complete Forward
4th row#Speedster, #Dribbler, #Acrobat
5th row#Dribbler, #Playmaker  , #Engine, #Distance Shooter, #Crosser, #Complete Midfielder

Common Values

ValueCountFrequency (%)
#Strength514
 
2.8%
#Acrobat238
 
1.3%
#Engine209
 
1.1%
#Speedster156
 
0.9%
#Speedster, #Acrobat66
 
0.4%
#Aerial Threat, #Strength62
 
0.3%
#Aerial Threat33
 
0.2%
#Dribbler30
 
0.2%
#Speedster, #Dribbler, #Acrobat19
 
0.1%
#Tackling , #Tactician 15
 
0.1%
Other values (73)157
 
0.9%
(Missing)16779
91.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
strength594
27.5%
acrobat362
16.7%
speedster257
11.9%
engine239
11.0%
aerial101
 
4.7%
threat101
 
4.7%
dribbler95
 
4.4%
53
 
2.5%
complete40
 
1.8%
tactician36
 
1.7%
Other values (13)285
13.2%

Most occurring characters

ValueCountFrequency (%)
e2203
 
11.7%
t2054
 
10.9%
#1897
 
10.1%
r1807
 
9.6%
n1211
 
6.4%
S900
 
4.8%
g862
 
4.6%
a823
 
4.4%
h750
 
4.0%
i741
 
3.9%
Other values (24)5588
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter13667
72.6%
Other Punctuation2295
 
12.2%
Uppercase Letter2138
 
11.4%
Space Separator736
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e2203
16.1%
t2054
15.0%
r1807
13.2%
n1211
8.9%
g862
 
6.3%
a823
 
6.0%
h750
 
5.5%
i741
 
5.4%
b552
 
4.0%
c546
 
4.0%
Other values (10)2118
15.5%
Uppercase Letter
ValueCountFrequency (%)
S900
42.1%
A463
21.7%
E239
 
11.2%
T166
 
7.8%
D123
 
5.8%
C94
 
4.4%
F66
 
3.1%
P41
 
1.9%
K28
 
1.3%
M18
 
0.8%
Other Punctuation
ValueCountFrequency (%)
#1897
82.7%
,398
 
17.3%
Space Separator
ValueCountFrequency (%)
641
87.1%
 95
 
12.9%

Most occurring scripts

ValueCountFrequency (%)
Latin15805
83.9%
Common3031
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e2203
13.9%
t2054
13.0%
r1807
11.4%
n1211
 
7.7%
S900
 
5.7%
g862
 
5.5%
a823
 
5.2%
h750
 
4.7%
i741
 
4.7%
b552
 
3.5%
Other values (20)3902
24.7%
Common
ValueCountFrequency (%)
#1897
62.6%
641
 
21.1%
,398
 
13.1%
 95
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII18741
99.5%
None95
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e2203
11.8%
t2054
 
11.0%
#1897
 
10.1%
r1807
 
9.6%
n1211
 
6.5%
S900
 
4.8%
g862
 
4.6%
a823
 
4.4%
h750
 
4.0%
i741
 
4.0%
Other values (23)5493
29.3%
None
ValueCountFrequency (%)
 95
100.0%

team_position
Categorical

HIGH CORRELATION
MISSING

Distinct29
Distinct (%)0.2%
Missing240
Missing (%)1.3%
Memory size142.9 KiB
SUB
7820 
RES
2958 
GK
 
662
LCB
 
660
RCB
 
660
Other values (24)
5278 

Length

Max length3
Median length3
Mean length2.779465573
Min length2

Characters and Unicode

Total characters50136
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRW
2nd rowLW
3rd rowCAM
4th rowGK
5th rowLW

Common Values

ValueCountFrequency (%)
SUB7820
42.8%
RES2958
 
16.2%
GK662
 
3.6%
LCB660
 
3.6%
RCB660
 
3.6%
RB560
 
3.1%
LB560
 
3.1%
ST458
 
2.5%
RCM411
 
2.2%
LCM411
 
2.2%
Other values (19)2878
 
15.7%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
sub7820
43.4%
res2958
 
16.4%
gk662
 
3.7%
lcb660
 
3.7%
rcb660
 
3.7%
rb560
 
3.1%
lb560
 
3.1%
st458
 
2.5%
rcm411
 
2.3%
lcm411
 
2.3%
Other values (19)2878
 
16.0%

Most occurring characters

ValueCountFrequency (%)
S11626
23.2%
B10476
20.9%
U7820
15.6%
R5688
11.3%
E2958
 
5.9%
C2824
 
5.6%
L2728
 
5.4%
M2719
 
5.4%
D667
 
1.3%
G662
 
1.3%
Other values (5)1968
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter50136
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S11626
23.2%
B10476
20.9%
U7820
15.6%
R5688
11.3%
E2958
 
5.9%
C2824
 
5.6%
L2728
 
5.4%
M2719
 
5.4%
D667
 
1.3%
G662
 
1.3%
Other values (5)1968
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Latin50136
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
S11626
23.2%
B10476
20.9%
U7820
15.6%
R5688
11.3%
E2958
 
5.9%
C2824
 
5.6%
L2728
 
5.4%
M2719
 
5.4%
D667
 
1.3%
G662
 
1.3%
Other values (5)1968
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII50136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S11626
23.2%
B10476
20.9%
U7820
15.6%
R5688
11.3%
E2958
 
5.9%
C2824
 
5.6%
L2728
 
5.4%
M2719
 
5.4%
D667
 
1.3%
G662
 
1.3%
Other values (5)1968
 
3.9%

team_jersey_number
Real number (ℝ≥0)

MISSING

Distinct99
Distinct (%)0.5%
Missing240
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean20.10389178
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile2
Q19
median17
Q327
95-th percentile45
Maximum99
Range98
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.60363935
Coefficient of variation (CV)0.825891799
Kurtosis6.444938363
Mean20.10389178
Median Absolute Deviation (MAD)9
Skewness2.126464372
Sum362634
Variance275.6808398
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7599
 
3.3%
8596
 
3.3%
11582
 
3.2%
10581
 
3.2%
5580
 
3.2%
9577
 
3.2%
1575
 
3.1%
6565
 
3.1%
4553
 
3.0%
17541
 
3.0%
Other values (89)12289
67.2%
ValueCountFrequency (%)
1575
3.1%
2499
2.7%
3526
2.9%
4553
3.0%
5580
3.2%
6565
3.1%
7599
3.3%
8596
3.3%
9577
3.2%
10581
3.2%
ValueCountFrequency (%)
9973
0.4%
9821
 
0.1%
9723
 
0.1%
9611
 
0.1%
9518
 
0.1%
9413
 
0.1%
9315
 
0.1%
9220
 
0.1%
9118
 
0.1%
9022
 
0.1%

loaned_from
Categorical

HIGH CARDINALITY
MISSING

Distinct316
Distinct (%)30.2%
Missing17230
Missing (%)94.3%
Memory size142.9 KiB
Atalanta
 
17
Sassuolo
 
17
Inter
 
14
SL Benfica
 
14
Genoa
 
13
Other values (311)
973 

Length

Max length30
Median length21
Mean length12.66507634
Min length3

Characters and Unicode

Total characters13273
Distinct characters86
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)10.7%

Sample

1st rowFC Barcelona
2nd rowInter
3rd rowReal Betis
4th rowChelsea
5th rowInter

Common Values

ValueCountFrequency (%)
Atalanta17
 
0.1%
Sassuolo17
 
0.1%
Inter14
 
0.1%
SL Benfica14
 
0.1%
Genoa13
 
0.1%
Racing Club13
 
0.1%
Chelsea12
 
0.1%
Real Madrid12
 
0.1%
Manchester City12
 
0.1%
AS Monaco12
 
0.1%
Other values (306)912
 
5.0%
(Missing)17230
94.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
fc131
 
6.2%
city55
 
2.6%
club47
 
2.2%
united44
 
2.1%
de38
 
1.8%
atlético27
 
1.3%
real26
 
1.2%
cf26
 
1.2%
manchester18
 
0.8%
al18
 
0.8%
Other values (475)1689
79.7%

Most occurring characters

ValueCountFrequency (%)
a1120
 
8.4%
1071
 
8.1%
e1047
 
7.9%
n793
 
6.0%
i772
 
5.8%
o753
 
5.7%
r719
 
5.4%
t664
 
5.0%
l656
 
4.9%
C435
 
3.3%
Other values (76)5243
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter9473
71.4%
Uppercase Letter2539
 
19.1%
Space Separator1071
 
8.1%
Other Punctuation86
 
0.6%
Decimal Number76
 
0.6%
Dash Punctuation18
 
0.1%
Close Punctuation5
 
< 0.1%
Open Punctuation5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a1120
11.8%
e1047
11.1%
n793
 
8.4%
i772
 
8.1%
o753
 
7.9%
r719
 
7.6%
t664
 
7.0%
l656
 
6.9%
s433
 
4.6%
d372
 
3.9%
Other values (33)2144
22.6%
Uppercase Letter
ValueCountFrequency (%)
C435
17.1%
S279
11.0%
F230
 
9.1%
A196
 
7.7%
B164
 
6.5%
L132
 
5.2%
R119
 
4.7%
M115
 
4.5%
V90
 
3.5%
U88
 
3.5%
Other values (17)691
27.2%
Decimal Number
ValueCountFrequency (%)
125
32.9%
919
25.0%
811
14.5%
08
 
10.5%
46
 
7.9%
62
 
2.6%
52
 
2.6%
32
 
2.6%
71
 
1.3%
Other Punctuation
ValueCountFrequency (%)
.69
80.2%
&14
 
16.3%
'3
 
3.5%
Space Separator
ValueCountFrequency (%)
1071
100.0%
Dash Punctuation
ValueCountFrequency (%)
-18
100.0%
Close Punctuation
ValueCountFrequency (%)
)5
100.0%
Open Punctuation
ValueCountFrequency (%)
(5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin12012
90.5%
Common1261
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a1120
 
9.3%
e1047
 
8.7%
n793
 
6.6%
i772
 
6.4%
o753
 
6.3%
r719
 
6.0%
t664
 
5.5%
l656
 
5.5%
C435
 
3.6%
s433
 
3.6%
Other values (60)4620
38.5%
Common
ValueCountFrequency (%)
1071
84.9%
.69
 
5.5%
125
 
2.0%
919
 
1.5%
-18
 
1.4%
&14
 
1.1%
811
 
0.9%
08
 
0.6%
46
 
0.5%
)5
 
0.4%
Other values (6)15
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII13142
99.0%
None131
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a1120
 
8.5%
1071
 
8.1%
e1047
 
8.0%
n793
 
6.0%
i772
 
5.9%
o753
 
5.7%
r719
 
5.5%
t664
 
5.1%
l656
 
5.0%
C435
 
3.3%
Other values (57)5112
38.9%
None
ValueCountFrequency (%)
é46
35.1%
ó17
 
13.0%
ö13
 
9.9%
ş9
 
6.9%
ü8
 
6.1%
ú6
 
4.6%
ã5
 
3.8%
á5
 
3.8%
É4
 
3.1%
å3
 
2.3%
Other values (9)15
 
11.5%

joined
Categorical

HIGH CARDINALITY
MISSING

Distinct1760
Distinct (%)10.4%
Missing1288
Missing (%)7.0%
Memory size142.9 KiB
2019-07-01
1465 
2018-07-01
 
1213
2017-07-01
 
750
2016-07-01
 
434
2015-07-01
 
272
Other values (1755)
12856 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters169900
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique663 ?
Unique (%)3.9%

Sample

1st row2004-07-01
2nd row2018-07-10
3rd row2017-08-03
4th row2014-07-16
5th row2019-07-01

Common Values

ValueCountFrequency (%)
2019-07-011465
 
8.0%
2018-07-011213
 
6.6%
2017-07-01750
 
4.1%
2016-07-01434
 
2.4%
2015-07-01272
 
1.5%
2018-01-01262
 
1.4%
2019-01-01249
 
1.4%
2014-07-01171
 
0.9%
2019-07-03150
 
0.8%
2019-07-08147
 
0.8%
Other values (1750)11877
65.0%
(Missing)1288
 
7.0%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
2019-07-011465
 
8.6%
2018-07-011213
 
7.1%
2017-07-01750
 
4.4%
2016-07-01434
 
2.6%
2015-07-01272
 
1.6%
2018-01-01262
 
1.5%
2019-01-01249
 
1.5%
2014-07-01171
 
1.0%
2019-07-03150
 
0.9%
2019-07-08147
 
0.9%
Other values (1750)11877
69.9%

Most occurring characters

ValueCountFrequency (%)
044824
26.4%
-33980
20.0%
132216
19.0%
222270
13.1%
711998
 
7.1%
87491
 
4.4%
96960
 
4.1%
63305
 
1.9%
32704
 
1.6%
52360
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number135920
80.0%
Dash Punctuation33980
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
044824
33.0%
132216
23.7%
222270
16.4%
711998
 
8.8%
87491
 
5.5%
96960
 
5.1%
63305
 
2.4%
32704
 
2.0%
52360
 
1.7%
41792
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
-33980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common169900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
044824
26.4%
-33980
20.0%
132216
19.0%
222270
13.1%
711998
 
7.1%
87491
 
4.4%
96960
 
4.1%
63305
 
1.9%
32704
 
1.6%
52360
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII169900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
044824
26.4%
-33980
20.0%
132216
19.0%
222270
13.1%
711998
 
7.1%
87491
 
4.4%
96960
 
4.1%
63305
 
1.9%
32704
 
1.6%
52360
 
1.4%

contract_valid_until
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing240
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2021.114591
Minimum2019
Maximum2026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum2019
5-th percentile2019
Q12020
median2021
Q32022
95-th percentile2024
Maximum2026
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.289887561
Coefficient of variation (CV)0.0006382060506
Kurtosis-0.4723309143
Mean2021.114591
Median Absolute Deviation (MAD)1
Skewness0.5054369045
Sum36456865
Variance1.663809921
MonotonicityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20206131
33.5%
20214133
22.6%
20223982
21.8%
20231740
 
9.5%
20191088
 
6.0%
2024947
 
5.2%
202514
 
0.1%
20263
 
< 0.1%
(Missing)240
 
1.3%
ValueCountFrequency (%)
20191088
 
6.0%
20206131
33.5%
20214133
22.6%
20223982
21.8%
20231740
 
9.5%
2024947
 
5.2%
202514
 
0.1%
20263
 
< 0.1%
ValueCountFrequency (%)
20263
 
< 0.1%
202514
 
0.1%
2024947
 
5.2%
20231740
 
9.5%
20223982
21.8%
20214133
22.6%
20206131
33.5%
20191088
 
6.0%

nation_position
Categorical

HIGH CORRELATION
MISSING

Distinct26
Distinct (%)2.3%
Missing17152
Missing (%)93.8%
Memory size142.9 KiB
SUB
587 
GK
 
49
LCB
 
49
RCB
 
49
RB
 
46
Other values (21)
346 

Length

Max length3
Median length3
Mean length2.73357016
Min length2

Characters and Unicode

Total characters3078
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st rowLS
2nd rowLW
3rd rowGK
4th rowLF
5th rowRCM

Common Values

ValueCountFrequency (%)
SUB587
 
3.2%
GK49
 
0.3%
LCB49
 
0.3%
RCB49
 
0.3%
RB46
 
0.3%
LB46
 
0.3%
ST43
 
0.2%
RCM36
 
0.2%
LCM36
 
0.2%
LM29
 
0.2%
Other values (16)156
 
0.9%
(Missing)17152
93.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
sub587
52.1%
lcb49
 
4.4%
rcb49
 
4.4%
gk49
 
4.4%
rb46
 
4.1%
lb46
 
4.1%
st43
 
3.8%
rcm36
 
3.2%
lcm36
 
3.2%
lm29
 
2.6%
Other values (16)156
 
13.9%

Most occurring characters

ValueCountFrequency (%)
B782
25.4%
S642
20.9%
U587
19.1%
C219
 
7.1%
L199
 
6.5%
R199
 
6.5%
M199
 
6.5%
G49
 
1.6%
K49
 
1.6%
D45
 
1.5%
Other values (4)108
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter3078
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B782
25.4%
S642
20.9%
U587
19.1%
C219
 
7.1%
L199
 
6.5%
R199
 
6.5%
M199
 
6.5%
G49
 
1.6%
K49
 
1.6%
D45
 
1.5%
Other values (4)108
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Latin3078
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B782
25.4%
S642
20.9%
U587
19.1%
C219
 
7.1%
L199
 
6.5%
R199
 
6.5%
M199
 
6.5%
G49
 
1.6%
K49
 
1.6%
D45
 
1.5%
Other values (4)108
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII3078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B782
25.4%
S642
20.9%
U587
19.1%
C219
 
7.1%
L199
 
6.5%
R199
 
6.5%
M199
 
6.5%
G49
 
1.6%
K49
 
1.6%
D45
 
1.5%
Other values (4)108
 
3.5%

nation_jersey_number
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct30
Distinct (%)2.7%
Missing17152
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean12.11456483
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile2
Q16
median12
Q318
95-th percentile22.75
Maximum30
Range29
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.73592169
Coefficient of variation (CV)0.5560184607
Kurtosis-1.139391255
Mean12.11456483
Median Absolute Deviation (MAD)6
Skewness0.0263845671
Sum13641
Variance45.37264101
MonotonicityNot monotonic
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2149
 
0.3%
1249
 
0.3%
2049
 
0.3%
2349
 
0.3%
1749
 
0.3%
1949
 
0.3%
1849
 
0.3%
249
 
0.3%
649
 
0.3%
1449
 
0.3%
Other values (20)636
 
3.5%
(Missing)17152
93.8%
ValueCountFrequency (%)
149
0.3%
249
0.3%
349
0.3%
448
0.3%
548
0.3%
649
0.3%
748
0.3%
848
0.3%
949
0.3%
1048
0.3%
ValueCountFrequency (%)
301
 
< 0.1%
291
 
< 0.1%
281
 
< 0.1%
271
 
< 0.1%
261
 
< 0.1%
251
 
< 0.1%
242
 
< 0.1%
2349
0.3%
2248
0.3%
2149
0.3%

pace
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct70
Distinct (%)0.4%
Missing2036
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean67.7008989
Minimum24
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum24
5-th percentile47
Q161
median69
Q375
95-th percentile85
Maximum96
Range72
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.29765585
Coefficient of variation (CV)0.1668760095
Kurtosis0.5670726037
Mean67.7008989
Median Absolute Deviation (MAD)7
Skewness-0.5475906827
Sum1099598
Variance127.6370277
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67689
 
3.8%
66657
 
3.6%
71633
 
3.5%
69627
 
3.4%
70614
 
3.4%
68613
 
3.4%
64593
 
3.2%
72585
 
3.2%
74579
 
3.2%
73579
 
3.2%
Other values (60)10073
55.1%
(Missing)2036
 
11.1%
ValueCountFrequency (%)
241
 
< 0.1%
252
 
< 0.1%
294
 
< 0.1%
3021
0.1%
3122
0.1%
3239
0.2%
3343
0.2%
3443
0.2%
3533
0.2%
3626
0.1%
ValueCountFrequency (%)
962
 
< 0.1%
954
 
< 0.1%
9417
 
0.1%
9330
 
0.2%
9254
0.3%
9181
0.4%
9086
0.5%
8990
0.5%
88106
0.6%
87126
0.7%

shooting
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct79
Distinct (%)0.5%
Missing2036
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean52.2983007
Minimum15
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum15
5-th percentile27
Q142
median54
Q363
95-th percentile73
Maximum93
Range78
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.02941778
Coefficient of variation (CV)0.268257622
Kurtosis-0.7559571391
Mean52.2983007
Median Absolute Deviation (MAD)10
Skewness-0.2915078277
Sum849429
Variance196.8245633
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60549
 
3.0%
61484
 
2.6%
63480
 
2.6%
62475
 
2.6%
59472
 
2.6%
58461
 
2.5%
64455
 
2.5%
57452
 
2.5%
56432
 
2.4%
65423
 
2.3%
Other values (69)11559
63.2%
(Missing)2036
 
11.1%
ValueCountFrequency (%)
151
 
< 0.1%
164
 
< 0.1%
174
 
< 0.1%
184
 
< 0.1%
194
 
< 0.1%
2012
 
0.1%
2123
 
0.1%
2239
 
0.2%
2395
0.5%
24121
0.7%
ValueCountFrequency (%)
931
 
< 0.1%
921
 
< 0.1%
911
 
< 0.1%
901
 
< 0.1%
892
 
< 0.1%
882
 
< 0.1%
872
 
< 0.1%
866
< 0.1%
858
< 0.1%
848
< 0.1%

passing
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct68
Distinct (%)0.4%
Missing2036
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean57.23377663
Minimum24
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum24
5-th percentile39
Q150
median58
Q364
95-th percentile73
Maximum92
Range68
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.40784396
Coefficient of variation (CV)0.1818479327
Kurtosis-0.1283247084
Mean57.23377663
Median Absolute Deviation (MAD)7
Skewness-0.2382989553
Sum929591
Variance108.3232159
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61671
 
3.7%
59663
 
3.6%
62654
 
3.6%
60642
 
3.5%
58618
 
3.4%
56611
 
3.3%
57607
 
3.3%
63599
 
3.3%
64544
 
3.0%
54538
 
2.9%
Other values (58)10095
55.2%
(Missing)2036
 
11.1%
ValueCountFrequency (%)
243
 
< 0.1%
254
 
< 0.1%
2610
 
0.1%
2711
 
0.1%
2822
0.1%
2934
0.2%
3034
0.2%
3140
0.2%
3244
0.2%
3352
0.3%
ValueCountFrequency (%)
922
 
< 0.1%
902
 
< 0.1%
891
 
< 0.1%
882
 
< 0.1%
875
 
< 0.1%
867
 
< 0.1%
857
 
< 0.1%
8418
0.1%
8313
0.1%
8220
0.1%

dribbling
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct71
Distinct (%)0.4%
Missing2036
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean62.53158478
Minimum23
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum23
5-th percentile42
Q157
median64
Q369
95-th percentile77
Maximum96
Range73
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.28495038
Coefficient of variation (CV)0.164476087
Kurtosis0.4740128548
Mean62.53158478
Median Absolute Deviation (MAD)6
Skewness-0.6079853879
Sum1015638
Variance105.7802042
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65795
 
4.3%
64768
 
4.2%
67752
 
4.1%
66737
 
4.0%
63727
 
4.0%
68692
 
3.8%
62672
 
3.7%
69619
 
3.4%
61610
 
3.3%
60583
 
3.2%
Other values (61)9287
50.8%
(Missing)2036
 
11.1%
ValueCountFrequency (%)
231
 
< 0.1%
261
 
< 0.1%
272
 
< 0.1%
284
 
< 0.1%
2910
 
0.1%
3022
0.1%
3123
0.1%
3237
0.2%
3342
0.2%
3440
0.2%
ValueCountFrequency (%)
961
 
< 0.1%
951
 
< 0.1%
941
 
< 0.1%
921
 
< 0.1%
914
 
< 0.1%
906
 
< 0.1%
8910
 
0.1%
886
 
< 0.1%
8719
0.1%
8625
0.1%

defending
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct76
Distinct (%)0.5%
Missing2036
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean51.55350326
Minimum15
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum15
5-th percentile24
Q136
median56
Q365
95-th percentile74
Maximum90
Range75
Interquartile range (IQR)29

Descriptive statistics

Standard deviation16.41952761
Coefficient of variation (CV)0.3184948951
Kurtosis-1.063887769
Mean51.55350326
Median Absolute Deviation (MAD)12
Skewness-0.342478589
Sum837332
Variance269.600887
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63570
 
3.1%
61523
 
2.9%
65515
 
2.8%
64514
 
2.8%
60511
 
2.8%
62508
 
2.8%
66497
 
2.7%
59469
 
2.6%
67451
 
2.5%
68392
 
2.1%
Other values (66)11292
61.8%
(Missing)2036
 
11.1%
ValueCountFrequency (%)
152
 
< 0.1%
1616
 
0.1%
1731
 
0.2%
1859
 
0.3%
1981
 
0.4%
20105
0.6%
21124
0.7%
22156
0.9%
23181
1.0%
24206
1.1%
ValueCountFrequency (%)
902
 
< 0.1%
893
 
< 0.1%
883
 
< 0.1%
876
 
< 0.1%
8610
 
0.1%
8513
0.1%
848
 
< 0.1%
8324
0.1%
8229
0.2%
8125
0.1%

physic
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct61
Distinct (%)0.4%
Missing2036
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean64.87667775
Minimum27
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum27
5-th percentile47
Q159
median66
Q372
95-th percentile79
Maximum90
Range63
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.760161828
Coefficient of variation (CV)0.1504417638
Kurtosis-0.1225541302
Mean64.87667775
Median Absolute Deviation (MAD)7
Skewness-0.4854302292
Sum1053727
Variance95.26075891
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67726
 
4.0%
69715
 
3.9%
70691
 
3.8%
66686
 
3.8%
72679
 
3.7%
68666
 
3.6%
71657
 
3.6%
65598
 
3.3%
74574
 
3.1%
64571
 
3.1%
Other values (51)9679
53.0%
(Missing)2036
 
11.1%
ValueCountFrequency (%)
271
 
< 0.1%
312
 
< 0.1%
321
 
< 0.1%
334
 
< 0.1%
3413
 
0.1%
3513
 
0.1%
3616
 
0.1%
3722
0.1%
3828
0.2%
3948
0.3%
ValueCountFrequency (%)
901
 
< 0.1%
893
 
< 0.1%
888
 
< 0.1%
8713
 
0.1%
8618
 
0.1%
8534
 
0.2%
8458
 
0.3%
8384
0.5%
82119
0.7%
81147
0.8%

gk_diving
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct47
Distinct (%)2.3%
Missing16242
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean65.42239686
Minimum44
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum44
5-th percentile53
Q160
median65
Q370
95-th percentile79
Maximum90
Range46
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.736277816
Coefficient of variation (CV)0.1182512135
Kurtosis-0.04764523263
Mean65.42239686
Median Absolute Deviation (MAD)5
Skewness0.1681730979
Sum133200
Variance59.84999445
MonotonicityNot monotonic
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
64119
 
0.7%
66114
 
0.6%
65111
 
0.6%
62103
 
0.6%
6398
 
0.5%
6198
 
0.5%
6796
 
0.5%
6995
 
0.5%
6889
 
0.5%
7089
 
0.5%
Other values (37)1024
 
5.6%
(Missing)16242
88.9%
ValueCountFrequency (%)
441
 
< 0.1%
453
 
< 0.1%
462
 
< 0.1%
478
 
< 0.1%
4810
 
0.1%
4912
0.1%
5014
0.1%
5118
0.1%
5219
0.1%
5328
0.2%
ValueCountFrequency (%)
903
 
< 0.1%
891
 
< 0.1%
882
 
< 0.1%
873
 
< 0.1%
864
 
< 0.1%
856
 
< 0.1%
8410
0.1%
837
< 0.1%
8215
0.1%
8112
0.1%

gk_handling
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct47
Distinct (%)2.3%
Missing16242
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean63.14636542
Minimum42
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum42
5-th percentile52
Q158
median63
Q368
95-th percentile76
Maximum92
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.244022635
Coefficient of variation (CV)0.1147179665
Kurtosis0.2118880059
Mean63.14636542
Median Absolute Deviation (MAD)5
Skewness0.2778550143
Sum128566
Variance52.47586393
MonotonicityNot monotonic
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
62150
 
0.8%
60123
 
0.7%
65121
 
0.7%
63112
 
0.6%
58103
 
0.6%
64100
 
0.5%
6699
 
0.5%
6197
 
0.5%
5992
 
0.5%
6787
 
0.5%
Other values (37)952
 
5.2%
(Missing)16242
88.9%
ValueCountFrequency (%)
421
 
< 0.1%
431
 
< 0.1%
456
 
< 0.1%
464
 
< 0.1%
4710
 
0.1%
4814
 
0.1%
4911
 
0.1%
5020
0.1%
5128
0.2%
5240
0.2%
ValueCountFrequency (%)
921
 
< 0.1%
891
 
< 0.1%
871
 
< 0.1%
861
 
< 0.1%
853
 
< 0.1%
845
< 0.1%
833
 
< 0.1%
8212
0.1%
816
< 0.1%
8011
0.1%

gk_kicking
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct52
Distinct (%)2.6%
Missing16242
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean61.83251473
Minimum35
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum35
5-th percentile50
Q157
median61
Q366
95-th percentile75
Maximum93
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.51070939
Coefficient of variation (CV)0.1214686063
Kurtosis0.4162822322
Mean61.83251473
Median Absolute Deviation (MAD)5
Skewness0.3342751387
Sum125891
Variance56.41075554
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60128
 
0.7%
58123
 
0.7%
61119
 
0.7%
59113
 
0.6%
65105
 
0.6%
62104
 
0.6%
64103
 
0.6%
6397
 
0.5%
5692
 
0.5%
6690
 
0.5%
Other values (42)962
 
5.3%
(Missing)16242
88.9%
ValueCountFrequency (%)
351
 
< 0.1%
381
 
< 0.1%
401
 
< 0.1%
422
 
< 0.1%
432
 
< 0.1%
447
< 0.1%
459
< 0.1%
468
< 0.1%
4711
0.1%
4817
0.1%
ValueCountFrequency (%)
931
 
< 0.1%
911
 
< 0.1%
901
 
< 0.1%
881
 
< 0.1%
871
 
< 0.1%
862
 
< 0.1%
852
 
< 0.1%
843
< 0.1%
824
< 0.1%
817
< 0.1%

gk_reflexes
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct48
Distinct (%)2.4%
Missing16242
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean66.39047151
Minimum45
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum45
5-th percentile54
Q160.75
median66
Q372
95-th percentile80.25
Maximum92
Range47
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation8.154062467
Coefficient of variation (CV)0.1228197704
Kurtosis-0.2089831624
Mean66.39047151
Median Absolute Deviation (MAD)6
Skewness0.197779351
Sum135171
Variance66.48873472
MonotonicityNot monotonic
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
68115
 
0.6%
64115
 
0.6%
65104
 
0.6%
6698
 
0.5%
7088
 
0.5%
6387
 
0.5%
6986
 
0.5%
6284
 
0.5%
7182
 
0.4%
6077
 
0.4%
Other values (38)1100
 
6.0%
(Missing)16242
88.9%
ValueCountFrequency (%)
452
 
< 0.1%
464
 
< 0.1%
471
 
< 0.1%
4810
 
0.1%
496
 
< 0.1%
5012
 
0.1%
5111
 
0.1%
5226
0.1%
5323
0.1%
5445
0.2%
ValueCountFrequency (%)
921
 
< 0.1%
911
 
< 0.1%
903
 
< 0.1%
895
 
< 0.1%
885
 
< 0.1%
875
 
< 0.1%
866
 
< 0.1%
857
< 0.1%
8413
0.1%
8317
0.1%

gk_speed
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct53
Distinct (%)2.6%
Missing16242
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean37.79862475
Minimum12
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum12
5-th percentile21
Q129
median39
Q346
95-th percentile55
Maximum65
Range53
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.63403825
Coefficient of variation (CV)0.2813339989
Kurtosis-0.8229501861
Mean37.79862475
Median Absolute Deviation (MAD)8
Skewness-0.02424795383
Sum76958
Variance113.0827696
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4597
 
0.5%
4481
 
0.4%
4379
 
0.4%
4272
 
0.4%
4672
 
0.4%
4171
 
0.4%
4870
 
0.4%
2662
 
0.3%
2461
 
0.3%
3760
 
0.3%
Other values (43)1311
 
7.2%
(Missing)16242
88.9%
ValueCountFrequency (%)
121
 
< 0.1%
131
 
< 0.1%
153
 
< 0.1%
1611
 
0.1%
179
 
< 0.1%
1822
0.1%
1921
0.1%
2020
0.1%
2134
0.2%
2242
0.2%
ValueCountFrequency (%)
652
 
< 0.1%
642
 
< 0.1%
636
 
< 0.1%
621
 
< 0.1%
613
 
< 0.1%
6015
0.1%
596
 
< 0.1%
5810
0.1%
5719
0.1%
5624
0.1%

gk_positioning
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct50
Distinct (%)2.5%
Missing16242
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean63.37475442
Minimum41
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum41
5-th percentile49
Q158
median64
Q369
95-th percentile77
Maximum91
Range50
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.447876385
Coefficient of variation (CV)0.1333003412
Kurtosis-0.08353135752
Mean63.37475442
Median Absolute Deviation (MAD)6
Skewness0.00814717021
Sum129031
Variance71.36661542
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65116
 
0.6%
64112
 
0.6%
66111
 
0.6%
6297
 
0.5%
6392
 
0.5%
6190
 
0.5%
6789
 
0.5%
6886
 
0.5%
6083
 
0.5%
5881
 
0.4%
Other values (40)1079
 
5.9%
(Missing)16242
88.9%
ValueCountFrequency (%)
414
 
< 0.1%
425
 
< 0.1%
437
 
< 0.1%
4410
 
0.1%
4514
0.1%
4610
 
0.1%
4715
0.1%
4823
0.1%
4926
0.1%
5028
0.2%
ValueCountFrequency (%)
911
 
< 0.1%
902
 
< 0.1%
891
 
< 0.1%
881
 
< 0.1%
864
 
< 0.1%
854
 
< 0.1%
845
 
< 0.1%
834
 
< 0.1%
8214
0.1%
8110
0.1%

player_traits
Categorical

HIGH CARDINALITY
MISSING

Distinct921
Distinct (%)12.2%
Missing10712
Missing (%)58.6%
Memory size142.9 KiB
Early Crosser
 
501
Power Free-Kick
 
370
Long Passer (CPU AI Only)
 
354
Crowd Favourite
 
296
Argues with Officials
 
294
Other values (916)
5751 

Length

Max length147
Median length115
Mean length28.1136664
Min length5

Characters and Unicode

Total characters212708
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)6.6%

Sample

1st rowBeat Offside Trap, Argues with Officials, Early Crosser, Finesse Shot, Speed Dribbler (CPU AI Only), 1-on-1 Rush, Giant Throw-in, Outside Foot Shot
2nd rowLong Throw-in, Selfish, Argues with Officials, Early Crosser, Speed Dribbler (CPU AI Only), Skilled Dribbling
3rd rowPower Free-Kick, Injury Free, Selfish, Early Crosser, Speed Dribbler (CPU AI Only), Crowd Favourite
4th rowFlair, Acrobatic Clearance
5th rowBeat Offside Trap, Selfish, Finesse Shot, Speed Dribbler (CPU AI Only), Crowd Favourite

Common Values

ValueCountFrequency (%)
Early Crosser501
 
2.7%
Power Free-Kick370
 
2.0%
Long Passer (CPU AI Only)354
 
1.9%
Crowd Favourite296
 
1.6%
Argues with Officials294
 
1.6%
Injury Prone259
 
1.4%
Leadership237
 
1.3%
Selfish, Crowd Favourite188
 
1.0%
Inflexible160
 
0.9%
Giant Throw-in158
 
0.9%
Other values (911)4749
26.0%
(Missing)10712
58.6%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
cpu1533
 
4.9%
ai1533
 
4.9%
only1533
 
4.9%
favourite1336
 
4.2%
crowd1336
 
4.2%
officials1222
 
3.9%
with1222
 
3.9%
argues1222
 
3.9%
early1168
 
3.7%
crosser1168
 
3.7%
Other values (41)18214
57.8%

Most occurring characters

ValueCountFrequency (%)
23921
 
11.2%
e18927
 
8.9%
r16791
 
7.9%
i13751
 
6.5%
s12192
 
5.7%
o10417
 
4.9%
a8755
 
4.1%
n8058
 
3.8%
l7196
 
3.4%
t5713
 
2.7%
Other values (36)86987
40.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter142499
67.0%
Uppercase Letter35809
 
16.8%
Space Separator23921
 
11.2%
Other Punctuation5708
 
2.7%
Dash Punctuation1703
 
0.8%
Open Punctuation1533
 
0.7%
Close Punctuation1533
 
0.7%
Decimal Number2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e18927
13.3%
r16791
11.8%
i13751
 
9.6%
s12192
 
8.6%
o10417
 
7.3%
a8755
 
6.1%
n8058
 
5.7%
l7196
 
5.0%
t5713
 
4.0%
f4922
 
3.5%
Other values (13)35777
25.1%
Uppercase Letter
ValueCountFrequency (%)
C4270
11.9%
F4166
11.6%
P4072
11.4%
A3471
9.7%
I3346
9.3%
O3345
9.3%
S2656
7.4%
U2016
 
5.6%
L1695
 
4.7%
T1670
 
4.7%
Other values (7)5102
14.2%
Space Separator
ValueCountFrequency (%)
23921
100.0%
Other Punctuation
ValueCountFrequency (%)
,5708
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1703
100.0%
Open Punctuation
ValueCountFrequency (%)
(1533
100.0%
Close Punctuation
ValueCountFrequency (%)
)1533
100.0%
Decimal Number
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin178308
83.8%
Common34400
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e18927
 
10.6%
r16791
 
9.4%
i13751
 
7.7%
s12192
 
6.8%
o10417
 
5.8%
a8755
 
4.9%
n8058
 
4.5%
l7196
 
4.0%
t5713
 
3.2%
f4922
 
2.8%
Other values (30)71586
40.1%
Common
ValueCountFrequency (%)
23921
69.5%
,5708
 
16.6%
-1703
 
5.0%
(1533
 
4.5%
)1533
 
4.5%
12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII212708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23921
 
11.2%
e18927
 
8.9%
r16791
 
7.9%
i13751
 
6.5%
s12192
 
5.7%
o10417
 
4.9%
a8755
 
4.1%
n8058
 
3.8%
l7196
 
3.4%
t5713
 
2.7%
Other values (36)86987
40.9%

attacking_crossing
Real number (ℝ≥0)

HIGH CORRELATION

Distinct88
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.71840464
Minimum5
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum5
5-th percentile13
Q138
median54
Q364
95-th percentile74
Maximum93
Range88
Interquartile range (IQR)26

Descriptive statistics

Standard deviation18.3254034
Coefficient of variation (CV)0.3685838983
Kurtosis-0.5204911032
Mean49.71840464
Median Absolute Deviation (MAD)12
Skewness-0.604843202
Sum908753
Variance335.8204097
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62549
 
3.0%
65522
 
2.9%
58522
 
2.9%
60514
 
2.8%
64504
 
2.8%
59490
 
2.7%
61469
 
2.6%
57460
 
2.5%
63454
 
2.5%
56430
 
2.4%
Other values (78)13364
73.1%
ValueCountFrequency (%)
51
 
< 0.1%
63
 
< 0.1%
78
 
< 0.1%
827
 
0.1%
938
 
0.2%
10160
0.9%
11274
1.5%
12272
1.5%
13311
1.7%
14254
1.4%
ValueCountFrequency (%)
931
 
< 0.1%
913
 
< 0.1%
902
 
< 0.1%
894
 
< 0.1%
884
 
< 0.1%
876
 
< 0.1%
8615
0.1%
859
 
< 0.1%
8420
0.1%
8324
0.1%

attacking_finishing
Real number (ℝ≥0)

HIGH CORRELATION

Distinct93
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.59021775
Minimum2
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum2
5-th percentile11
Q130
median49
Q362
95-th percentile73
Maximum95
Range93
Interquartile range (IQR)32

Descriptive statistics

Standard deviation19.59460943
Coefficient of variation (CV)0.4297985488
Kurtosis-0.9440430876
Mean45.59021775
Median Absolute Deviation (MAD)15
Skewness-0.3169360452
Sum833298
Variance383.9487187
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58497
 
2.7%
60444
 
2.4%
65437
 
2.4%
62421
 
2.3%
59419
 
2.3%
63413
 
2.3%
64409
 
2.2%
66390
 
2.1%
61374
 
2.0%
55358
 
2.0%
Other values (83)14116
77.2%
ValueCountFrequency (%)
22
 
< 0.1%
32
 
< 0.1%
48
 
< 0.1%
592
0.5%
6120
0.7%
7139
0.8%
8182
1.0%
9185
1.0%
10124
0.7%
11174
1.0%
ValueCountFrequency (%)
951
 
< 0.1%
942
 
< 0.1%
931
 
< 0.1%
911
 
< 0.1%
901
 
< 0.1%
895
 
< 0.1%
888
< 0.1%
877
< 0.1%
8614
0.1%
859
< 0.1%

attacking_heading_accuracy
Real number (ℝ≥0)

HIGH CORRELATION

Distinct89
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.22146843
Minimum5
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum5
5-th percentile13
Q144
median56
Q364
95-th percentile75
Maximum93
Range88
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.42842937
Coefficient of variation (CV)0.3337406988
Kurtosis0.2853481116
Mean52.22146843
Median Absolute Deviation (MAD)10
Skewness-0.8809329046
Sum954504
Variance303.7501502
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58640
 
3.5%
60592
 
3.2%
59556
 
3.0%
55553
 
3.0%
65540
 
3.0%
62531
 
2.9%
64509
 
2.8%
57471
 
2.6%
54467
 
2.6%
52454
 
2.5%
Other values (79)12965
70.9%
ValueCountFrequency (%)
53
 
< 0.1%
62
 
< 0.1%
77
 
< 0.1%
819
 
0.1%
925
 
0.1%
10174
1.0%
11255
1.4%
12276
1.5%
13307
1.7%
14269
1.5%
ValueCountFrequency (%)
933
 
< 0.1%
923
 
< 0.1%
912
 
< 0.1%
906
 
< 0.1%
894
 
< 0.1%
882
 
< 0.1%
875
 
< 0.1%
8617
0.1%
8521
0.1%
8422
0.1%

attacking_short_passing
Real number (ℝ≥0)

HIGH CORRELATION

Distinct84
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.74800306
Minimum7
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum7
5-th percentile25
Q154
median62
Q368
95-th percentile77
Maximum92
Range85
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.67965326
Coefficient of variation (CV)0.2498749318
Kurtosis0.8969551851
Mean58.74800306
Median Absolute Deviation (MAD)7
Skewness-1.136213163
Sum1073796
Variance215.4922198
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64841
 
4.6%
65825
 
4.5%
63802
 
4.4%
62795
 
4.3%
68767
 
4.2%
66737
 
4.0%
67723
 
4.0%
60637
 
3.5%
70576
 
3.2%
58575
 
3.1%
Other values (74)11000
60.2%
ValueCountFrequency (%)
71
 
< 0.1%
81
 
< 0.1%
118
 
< 0.1%
1217
 
0.1%
1313
 
0.1%
1412
 
0.1%
1559
0.3%
1640
0.2%
1755
0.3%
1845
0.2%
ValueCountFrequency (%)
924
 
< 0.1%
914
 
< 0.1%
903
 
< 0.1%
897
 
< 0.1%
885
 
< 0.1%
877
 
< 0.1%
8620
 
0.1%
8529
0.2%
8442
0.2%
8353
0.3%

attacking_volleys
Real number (ℝ≥0)

HIGH CORRELATION

Distinct87
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.80938834
Minimum3
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum3
5-th percentile11
Q130
median44
Q356
95-th percentile70
Maximum90
Range87
Interquartile range (IQR)26

Descriptive statistics

Standard deviation17.70181531
Coefficient of variation (CV)0.4135031123
Kurtosis-0.6811114826
Mean42.80938834
Median Absolute Deviation (MAD)13
Skewness-0.1564664716
Sum782470
Variance313.3542654
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48404
 
2.2%
45390
 
2.1%
59388
 
2.1%
42383
 
2.1%
55378
 
2.1%
49376
 
2.1%
52371
 
2.0%
58362
 
2.0%
53359
 
2.0%
41359
 
2.0%
Other values (77)14508
79.4%
ValueCountFrequency (%)
32
 
< 0.1%
412
 
0.1%
5107
0.6%
6124
0.7%
7128
0.7%
8174
1.0%
9160
0.9%
10100
0.5%
11136
0.7%
12183
1.0%
ValueCountFrequency (%)
904
 
< 0.1%
886
 
< 0.1%
874
 
< 0.1%
865
 
< 0.1%
859
< 0.1%
8414
0.1%
8316
0.1%
8217
0.1%
8121
0.1%
8022
0.1%

skill_dribbling
Real number (ℝ≥0)

HIGH CORRELATION

Distinct92
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.59650946
Minimum4
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum4
5-th percentile13
Q150
median61
Q368
95-th percentile77
Maximum97
Range93
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.92911774
Coefficient of variation (CV)0.3404731326
Kurtosis0.4187820821
Mean55.59650946
Median Absolute Deviation (MAD)8
Skewness-1.117592273
Sum1016193
Variance358.3114985
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65740
 
4.0%
63718
 
3.9%
62707
 
3.9%
64702
 
3.8%
66637
 
3.5%
68625
 
3.4%
67615
 
3.4%
61536
 
2.9%
59521
 
2.9%
58520
 
2.8%
Other values (82)11957
65.4%
ValueCountFrequency (%)
45
 
< 0.1%
533
 
0.2%
643
 
0.2%
763
 
0.3%
879
 
0.4%
987
 
0.5%
10138
0.8%
11194
1.1%
12226
1.2%
13212
1.2%
ValueCountFrequency (%)
971
 
< 0.1%
961
 
< 0.1%
951
 
< 0.1%
924
 
< 0.1%
912
 
< 0.1%
9013
 
0.1%
899
 
< 0.1%
8819
0.1%
8721
0.1%
8633
0.2%

skill_curve
Real number (ℝ≥0)

HIGH CORRELATION

Distinct89
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.32569209
Minimum6
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum6
5-th percentile13
Q134
median49
Q362
95-th percentile75
Maximum94
Range88
Interquartile range (IQR)28

Descriptive statistics

Standard deviation18.42299067
Coefficient of variation (CV)0.3892809561
Kurtosis-0.7260681313
Mean47.32569209
Median Absolute Deviation (MAD)14
Skewness-0.2630997318
Sum865019
Variance339.4065851
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58421
 
2.3%
48407
 
2.2%
45387
 
2.1%
59383
 
2.1%
60382
 
2.1%
49381
 
2.1%
55373
 
2.0%
42363
 
2.0%
63360
 
2.0%
64360
 
2.0%
Other values (79)14461
79.1%
ValueCountFrequency (%)
64
 
< 0.1%
75
 
< 0.1%
818
 
0.1%
933
 
0.2%
10167
0.9%
11224
1.2%
12265
1.4%
13305
1.7%
14248
1.4%
15158
0.9%
ValueCountFrequency (%)
941
 
< 0.1%
931
 
< 0.1%
921
 
< 0.1%
911
 
< 0.1%
905
 
< 0.1%
895
 
< 0.1%
887
 
< 0.1%
8710
 
0.1%
8620
0.1%
8536
0.2%

skill_fk_accuracy
Real number (ℝ≥0)

HIGH CORRELATION

Distinct89
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.708885
Minimum4
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum4
5-th percentile13
Q131
median41
Q356
95-th percentile72
Maximum94
Range90
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.43361238
Coefficient of variation (CV)0.4081963832
Kurtosis-0.7028830702
Mean42.708885
Median Absolute Deviation (MAD)12
Skewness0.09411637698
Sum780633
Variance303.9308408
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35478
 
2.6%
39472
 
2.6%
40471
 
2.6%
42465
 
2.5%
32459
 
2.5%
34424
 
2.3%
30418
 
2.3%
38417
 
2.3%
41409
 
2.2%
31409
 
2.2%
Other values (79)13856
75.8%
ValueCountFrequency (%)
41
 
< 0.1%
63
 
< 0.1%
713
 
0.1%
827
 
0.1%
932
 
0.2%
10155
0.8%
11248
1.4%
12325
1.8%
13308
1.7%
14260
1.4%
ValueCountFrequency (%)
941
 
< 0.1%
922
 
< 0.1%
912
 
< 0.1%
903
 
< 0.1%
892
 
< 0.1%
884
 
< 0.1%
877
< 0.1%
868
< 0.1%
8514
0.1%
8411
0.1%

skill_long_passing
Real number (ℝ≥0)

HIGH CORRELATION

Distinct85
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.7688478
Minimum8
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum8
5-th percentile23
Q143
median56
Q364
95-th percentile73
Maximum92
Range84
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.24645409
Coefficient of variation (CV)0.2889290695
Kurtosis-0.3544846305
Mean52.7688478
Median Absolute Deviation (MAD)10
Skewness-0.5903706982
Sum964509
Variance232.4543624
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59635
 
3.5%
62630
 
3.4%
58620
 
3.4%
63583
 
3.2%
65582
 
3.2%
60566
 
3.1%
64563
 
3.1%
55539
 
2.9%
61508
 
2.8%
57500
 
2.7%
Other values (75)12552
68.7%
ValueCountFrequency (%)
81
 
< 0.1%
93
 
< 0.1%
102
 
< 0.1%
117
 
< 0.1%
1217
 
0.1%
1322
 
0.1%
1418
 
0.1%
1556
0.3%
1667
0.4%
1766
0.4%
ValueCountFrequency (%)
922
 
< 0.1%
911
 
< 0.1%
902
 
< 0.1%
893
 
< 0.1%
882
 
< 0.1%
878
 
< 0.1%
864
 
< 0.1%
8513
0.1%
848
 
< 0.1%
8325
0.1%

skill_ball_control
Real number (ℝ≥0)

HIGH CORRELATION

Distinct90
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.46197615
Minimum5
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum5
5-th percentile19
Q154
median63
Q369
95-th percentile77
Maximum96
Range91
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.74187798
Coefficient of variation (CV)0.2863720847
Kurtosis1.081540587
Mean58.46197615
Median Absolute Deviation (MAD)7
Skewness-1.290295103
Sum1068568
Variance280.2904784
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64833
 
4.6%
65815
 
4.5%
66750
 
4.1%
63745
 
4.1%
68724
 
4.0%
62703
 
3.8%
67686
 
3.8%
70667
 
3.6%
60633
 
3.5%
61592
 
3.2%
Other values (80)11130
60.9%
ValueCountFrequency (%)
51
 
< 0.1%
81
 
< 0.1%
96
 
< 0.1%
1050
0.3%
1163
0.3%
1298
0.5%
1380
0.4%
14107
0.6%
15114
0.6%
16124
0.7%
ValueCountFrequency (%)
961
 
< 0.1%
951
 
< 0.1%
941
 
< 0.1%
933
 
< 0.1%
925
 
< 0.1%
915
 
< 0.1%
907
 
< 0.1%
8911
0.1%
8818
0.1%
8716
0.1%

movement_acceleration
Real number (ℝ≥0)

HIGH CORRELATION

Distinct86
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.29992341
Minimum12
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum12
5-th percentile33
Q156
median67
Q375
95-th percentile85
Maximum97
Range85
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.04223199
Coefficient of variation (CV)0.2339385678
Kurtosis0.4520594274
Mean64.29992341
Median Absolute Deviation (MAD)9
Skewness-0.8114484533
Sum1175274
Variance226.2687432
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68687
 
3.8%
67659
 
3.6%
69647
 
3.5%
66621
 
3.4%
65614
 
3.4%
74568
 
3.1%
72566
 
3.1%
70551
 
3.0%
75551
 
3.0%
73550
 
3.0%
Other values (76)12264
67.1%
ValueCountFrequency (%)
121
 
< 0.1%
131
 
< 0.1%
142
 
< 0.1%
1515
0.1%
1622
0.1%
1722
0.1%
1830
0.2%
1917
0.1%
2033
0.2%
2134
0.2%
ValueCountFrequency (%)
971
 
< 0.1%
962
 
< 0.1%
959
 
< 0.1%
9427
 
0.1%
9348
0.3%
9262
0.3%
9188
0.5%
90107
0.6%
89102
0.6%
88113
0.6%

movement_sprint_speed
Real number (ℝ≥0)

HIGH CORRELATION

Distinct86
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.41574571
Minimum11
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum11
5-th percentile34
Q157
median67
Q375
95-th percentile85
Maximum96
Range85
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.84776342
Coefficient of variation (CV)0.230498976
Kurtosis0.5706125521
Mean64.41574571
Median Absolute Deviation (MAD)8
Skewness-0.8489320462
Sum1177391
Variance220.4560786
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68702
 
3.8%
69678
 
3.7%
67668
 
3.7%
66637
 
3.5%
65596
 
3.3%
74592
 
3.2%
72586
 
3.2%
73583
 
3.2%
75582
 
3.2%
71564
 
3.1%
Other values (76)12090
66.1%
ValueCountFrequency (%)
112
 
< 0.1%
121
 
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
1521
0.1%
1625
0.1%
1722
0.1%
1827
0.1%
1919
0.1%
2032
0.2%
ValueCountFrequency (%)
964
 
< 0.1%
957
 
< 0.1%
9418
 
0.1%
9335
 
0.2%
9267
0.4%
9179
0.4%
90121
0.7%
8976
0.4%
88107
0.6%
87135
0.7%

movement_agility
Real number (ℝ≥0)

HIGH CORRELATION

Distinct83
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.50492395
Minimum11
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum11
5-th percentile34
Q155
median66
Q374
95-th percentile84
Maximum96
Range85
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.80838022
Coefficient of variation (CV)0.2331847564
Kurtosis-0.01766422178
Mean63.50492395
Median Absolute Deviation (MAD)9
Skewness-0.6345126194
Sum1160743
Variance219.2881248
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68607
 
3.3%
67584
 
3.2%
70578
 
3.2%
72573
 
3.1%
65570
 
3.1%
69567
 
3.1%
66560
 
3.1%
74545
 
3.0%
71543
 
3.0%
73543
 
3.0%
Other values (73)12608
69.0%
ValueCountFrequency (%)
111
 
< 0.1%
141
 
< 0.1%
151
 
< 0.1%
171
 
< 0.1%
188
 
< 0.1%
195
 
< 0.1%
203
 
< 0.1%
2121
0.1%
2233
0.2%
2327
0.1%
ValueCountFrequency (%)
961
 
< 0.1%
955
 
< 0.1%
9418
 
0.1%
9333
 
0.2%
9264
0.4%
9185
0.5%
90116
0.6%
8982
0.4%
88101
0.6%
87112
0.6%

movement_reactions
Real number (ℝ≥0)

HIGH CORRELATION

Distinct72
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.75254404
Minimum21
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum21
5-th percentile47
Q156
median62
Q368
95-th percentile76
Maximum96
Range75
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.135612545
Coefficient of variation (CV)0.1479390475
Kurtosis0.1556214195
Mean61.75254404
Median Absolute Deviation (MAD)6
Skewness-0.1347482792
Sum1128713
Variance83.45941657
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62855
 
4.7%
63841
 
4.6%
65837
 
4.6%
58821
 
4.5%
64821
 
4.5%
60792
 
4.3%
66761
 
4.2%
68711
 
3.9%
59702
 
3.8%
61695
 
3.8%
Other values (62)10442
57.1%
ValueCountFrequency (%)
211
 
< 0.1%
241
 
< 0.1%
252
 
< 0.1%
271
 
< 0.1%
284
 
< 0.1%
293
 
< 0.1%
304
 
< 0.1%
319
< 0.1%
3212
0.1%
3312
0.1%
ValueCountFrequency (%)
961
 
< 0.1%
951
 
< 0.1%
931
 
< 0.1%
925
 
< 0.1%
914
 
< 0.1%
903
 
< 0.1%
897
< 0.1%
887
< 0.1%
8714
0.1%
8614
0.1%

movement_balance
Real number (ℝ≥0)

HIGH CORRELATION

Distinct81
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.85643944
Minimum12
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum12
5-th percentile36
Q156
median66
Q374
95-th percentile84
Maximum97
Range85
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.20155851
Coefficient of variation (CV)0.2223982207
Kurtosis0.07684517162
Mean63.85643944
Median Absolute Deviation (MAD)9
Skewness-0.5915857205
Sum1167168
Variance201.6842642
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68607
 
3.3%
66604
 
3.3%
69601
 
3.3%
67598
 
3.3%
71593
 
3.2%
72580
 
3.2%
70580
 
3.2%
65577
 
3.2%
73550
 
3.0%
64537
 
2.9%
Other values (71)12451
68.1%
ValueCountFrequency (%)
121
 
< 0.1%
173
 
< 0.1%
194
 
< 0.1%
207
 
< 0.1%
2121
0.1%
2232
0.2%
2320
0.1%
2426
0.1%
2526
0.1%
2635
0.2%
ValueCountFrequency (%)
971
 
< 0.1%
962
 
< 0.1%
957
 
< 0.1%
9423
 
0.1%
9342
0.2%
9262
0.3%
9179
0.4%
90101
0.6%
8986
0.5%
88103
0.6%

power_shot_power
Real number (ℝ≥0)

HIGH CORRELATION

Distinct80
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.18169384
Minimum14
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum14
5-th percentile35
Q148
median59
Q368
95-th percentile78
Maximum95
Range81
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.32608281
Coefficient of variation (CV)0.2290425377
Kurtosis-0.4866856632
Mean58.18169384
Median Absolute Deviation (MAD)10
Skewness-0.2709114453
Sum1063445
Variance177.5844829
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65578
 
3.2%
68569
 
3.1%
62537
 
2.9%
70536
 
2.9%
66524
 
2.9%
64523
 
2.9%
58485
 
2.7%
63472
 
2.6%
60469
 
2.6%
55467
 
2.6%
Other values (70)13118
71.8%
ValueCountFrequency (%)
141
 
< 0.1%
151
 
< 0.1%
161
 
< 0.1%
171
 
< 0.1%
181
 
< 0.1%
2018
0.1%
2121
0.1%
2222
0.1%
2323
0.1%
2433
0.2%
ValueCountFrequency (%)
952
 
< 0.1%
941
 
< 0.1%
921
 
< 0.1%
911
 
< 0.1%
908
 
< 0.1%
895
 
< 0.1%
8814
 
0.1%
8716
 
0.1%
8639
0.2%
8561
0.3%

power_jumping
Real number (ℝ≥0)

HIGH CORRELATION

Distinct74
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.92816501
Minimum19
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum19
5-th percentile43
Q158
median66
Q373
95-th percentile83
Maximum95
Range76
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.93405922
Coefficient of variation (CV)0.1838040428
Kurtosis0.2890415074
Mean64.92816501
Median Absolute Deviation (MAD)7
Skewness-0.450799309
Sum1186757
Variance142.4217695
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70692
 
3.8%
72683
 
3.7%
71659
 
3.6%
67650
 
3.6%
68638
 
3.5%
64627
 
3.4%
65623
 
3.4%
66619
 
3.4%
63601
 
3.3%
69601
 
3.3%
Other values (64)11885
65.0%
ValueCountFrequency (%)
191
 
< 0.1%
222
 
< 0.1%
231
 
< 0.1%
252
 
< 0.1%
262
 
< 0.1%
275
 
< 0.1%
282
 
< 0.1%
2912
 
0.1%
3032
0.2%
3154
0.3%
ValueCountFrequency (%)
953
 
< 0.1%
944
 
< 0.1%
9321
 
0.1%
9253
0.3%
9169
0.4%
90102
0.6%
8954
0.3%
8872
0.4%
8781
0.4%
8695
0.5%

power_stamina
Real number (ℝ≥0)

HIGH CORRELATION

Distinct86
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.88948463
Minimum12
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum12
5-th percentile28
Q156
median66
Q374
95-th percentile84
Maximum97
Range85
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.01795437
Coefficient of variation (CV)0.254700042
Kurtosis0.405759062
Mean62.88948463
Median Absolute Deviation (MAD)8
Skewness-0.8870070915
Sum1149494
Variance256.5748623
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68633
 
3.5%
70616
 
3.4%
67609
 
3.3%
66605
 
3.3%
71602
 
3.3%
72595
 
3.3%
69585
 
3.2%
65583
 
3.2%
73571
 
3.1%
64557
 
3.0%
Other values (76)12322
67.4%
ValueCountFrequency (%)
121
 
< 0.1%
133
 
< 0.1%
143
 
< 0.1%
153
 
< 0.1%
1624
 
0.1%
1737
0.2%
1847
0.3%
1949
0.3%
2060
0.3%
2170
0.4%
ValueCountFrequency (%)
971
 
< 0.1%
961
 
< 0.1%
953
 
< 0.1%
948
 
< 0.1%
9333
 
0.2%
9258
0.3%
9183
0.5%
90116
0.6%
8981
0.4%
88100
0.5%

power_strength
Real number (ℝ≥0)

HIGH CORRELATION

Distinct75
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.2347631
Minimum20
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum20
5-th percentile42
Q158
median66
Q374
95-th percentile84
Maximum97
Range77
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.53481147
Coefficient of variation (CV)0.1921492603
Kurtosis0.06129547997
Mean65.2347631
Median Absolute Deviation (MAD)8
Skewness-0.4440349033
Sum1192361
Variance157.1214987
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68645
 
3.5%
70622
 
3.4%
67607
 
3.3%
73600
 
3.3%
72598
 
3.3%
69596
 
3.3%
64589
 
3.2%
71587
 
3.2%
66587
 
3.2%
65572
 
3.1%
Other values (65)12275
67.2%
ValueCountFrequency (%)
203
 
< 0.1%
221
 
< 0.1%
242
 
< 0.1%
254
 
< 0.1%
263
 
< 0.1%
273
 
< 0.1%
286
 
< 0.1%
2918
 
0.1%
3034
0.2%
3155
0.3%
ValueCountFrequency (%)
971
 
< 0.1%
953
 
< 0.1%
9410
 
0.1%
9333
 
0.2%
9262
0.3%
9181
0.4%
90121
0.7%
8972
0.4%
88101
0.6%
87104
0.6%

power_long_shots
Real number (ℝ≥0)

HIGH CORRELATION

Distinct90
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.81294452
Minimum4
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum4
5-th percentile12
Q132
median51
Q362
95-th percentile73
Maximum94
Range90
Interquartile range (IQR)30

Descriptive statistics

Standard deviation19.3223427
Coefficient of variation (CV)0.4127564053
Kurtosis-0.8179755749
Mean46.81294452
Median Absolute Deviation (MAD)14
Skewness-0.4283446497
Sum855647
Variance373.3529276
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58502
 
2.7%
59482
 
2.6%
62465
 
2.5%
55439
 
2.4%
60427
 
2.3%
65412
 
2.3%
64402
 
2.2%
63395
 
2.2%
52392
 
2.1%
56388
 
2.1%
Other values (80)13974
76.5%
ValueCountFrequency (%)
46
 
< 0.1%
5107
0.6%
6130
0.7%
7126
0.7%
8139
0.8%
9159
0.9%
1074
 
0.4%
11117
0.6%
12189
1.0%
13172
0.9%
ValueCountFrequency (%)
941
 
< 0.1%
931
 
< 0.1%
921
 
< 0.1%
904
 
< 0.1%
894
 
< 0.1%
885
 
< 0.1%
874
 
< 0.1%
8611
0.1%
856
 
< 0.1%
8423
0.1%

mentality_aggression
Real number (ℝ≥0)

HIGH CORRELATION

Distinct87
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.74214903
Minimum9
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum9
5-th percentile24
Q144
median58
Q369
95-th percentile80
Maximum95
Range86
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.3181573
Coefficient of variation (CV)0.3106833448
Kurtosis-0.6123081548
Mean55.74214903
Median Absolute Deviation (MAD)12
Skewness-0.4251161225
Sum1018855
Variance299.9185724
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68496
 
2.7%
70487
 
2.7%
58486
 
2.7%
65478
 
2.6%
60460
 
2.5%
55447
 
2.4%
62429
 
2.3%
67427
 
2.3%
72424
 
2.3%
59419
 
2.3%
Other values (77)13725
75.1%
ValueCountFrequency (%)
91
 
< 0.1%
101
 
< 0.1%
115
 
< 0.1%
1211
 
0.1%
1314
 
0.1%
1411
 
0.1%
1526
 
0.1%
1664
0.4%
1783
0.5%
1893
0.5%
ValueCountFrequency (%)
951
 
< 0.1%
943
 
< 0.1%
933
 
< 0.1%
9216
 
0.1%
9110
 
0.1%
9033
0.2%
8929
0.2%
8856
0.3%
8753
0.3%
8659
0.3%

mentality_interceptions
Real number (ℝ≥0)

HIGH CORRELATION

Distinct89
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.38023854
Minimum3
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum3
5-th percentile13
Q125
median52
Q364
95-th percentile74
Maximum92
Range89
Interquartile range (IQR)39

Descriptive statistics

Standard deviation20.77581209
Coefficient of variation (CV)0.4479453479
Kurtosis-1.273380212
Mean46.38023854
Median Absolute Deviation (MAD)16
Skewness-0.2661018362
Sum847738
Variance431.6343679
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62507
 
2.8%
64492
 
2.7%
65489
 
2.7%
63466
 
2.5%
66454
 
2.5%
60430
 
2.4%
59412
 
2.3%
67412
 
2.3%
58403
 
2.2%
61398
 
2.2%
Other values (79)13815
75.6%
ValueCountFrequency (%)
31
 
< 0.1%
41
 
< 0.1%
57
 
< 0.1%
642
 
0.2%
762
 
0.3%
883
 
0.5%
967
 
0.4%
10151
0.8%
11170
0.9%
12228
1.2%
ValueCountFrequency (%)
921
 
< 0.1%
902
 
< 0.1%
899
 
< 0.1%
886
 
< 0.1%
877
 
< 0.1%
8614
 
0.1%
8510
 
0.1%
8415
 
0.1%
8326
0.1%
8254
0.3%

mentality_positioning
Real number (ℝ≥0)

HIGH CORRELATION

Distinct94
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.07216326
Minimum2
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum2
5-th percentile10
Q139
median55
Q364
95-th percentile75
Maximum95
Range93
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.59402177
Coefficient of variation (CV)0.3913156631
Kurtosis-0.341018607
Mean50.07216326
Median Absolute Deviation (MAD)11
Skewness-0.7504692424
Sum915219
Variance383.9256889
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58586
 
3.2%
65545
 
3.0%
62540
 
3.0%
60516
 
2.8%
64507
 
2.8%
55506
 
2.8%
59506
 
2.8%
66472
 
2.6%
68470
 
2.6%
63469
 
2.6%
Other values (84)13161
72.0%
ValueCountFrequency (%)
24
 
< 0.1%
36
 
< 0.1%
493
0.5%
5136
0.7%
6172
0.9%
7157
0.9%
8160
0.9%
983
0.5%
10127
0.7%
11179
1.0%
ValueCountFrequency (%)
951
 
< 0.1%
941
 
< 0.1%
933
 
< 0.1%
924
 
< 0.1%
914
 
< 0.1%
906
< 0.1%
894
 
< 0.1%
887
< 0.1%
8712
0.1%
8613
0.1%

mentality_vision
Real number (ℝ≥0)

HIGH CORRELATION

Distinct85
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.60974943
Minimum9
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum9
5-th percentile29
Q144
median55
Q364
95-th percentile74
Maximum94
Range85
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.95562603
Coefficient of variation (CV)0.2603188073
Kurtosis-0.3548836096
Mean53.60974943
Median Absolute Deviation (MAD)10
Skewness-0.358395273
Sum979879
Variance194.7594979
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59589
 
3.2%
58588
 
3.2%
60560
 
3.1%
65546
 
3.0%
55532
 
2.9%
64529
 
2.9%
62520
 
2.8%
57507
 
2.8%
63494
 
2.7%
54489
 
2.7%
Other values (75)12924
70.7%
ValueCountFrequency (%)
93
 
< 0.1%
104
 
< 0.1%
1113
0.1%
1215
0.1%
1316
0.1%
1421
0.1%
1516
0.1%
1613
0.1%
1710
 
0.1%
1826
0.1%
ValueCountFrequency (%)
942
 
< 0.1%
921
 
< 0.1%
912
 
< 0.1%
902
 
< 0.1%
894
 
< 0.1%
885
 
< 0.1%
877
 
< 0.1%
8622
0.1%
8513
0.1%
8417
0.1%

mentality_penalties
Real number (ℝ≥0)

HIGH CORRELATION

Distinct86
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.38335704
Minimum7
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum7
5-th percentile18
Q139
median49
Q360
95-th percentile72
Maximum92
Range85
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.70809881
Coefficient of variation (CV)0.3246591342
Kurtosis-0.3125797842
Mean48.38335704
Median Absolute Deviation (MAD)11
Skewness-0.3597536324
Sum884351
Variance246.7443682
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55506
 
2.8%
48498
 
2.7%
49474
 
2.6%
59471
 
2.6%
58469
 
2.6%
45466
 
2.5%
42455
 
2.5%
60454
 
2.5%
40448
 
2.5%
44441
 
2.4%
Other values (76)13596
74.4%
ValueCountFrequency (%)
75
 
< 0.1%
84
 
< 0.1%
98
 
< 0.1%
1056
 
0.3%
1195
0.5%
12114
0.6%
1399
0.5%
14116
0.6%
15140
0.8%
16126
0.7%
ValueCountFrequency (%)
921
 
< 0.1%
914
 
< 0.1%
909
< 0.1%
892
 
< 0.1%
885
 
< 0.1%
875
 
< 0.1%
8610
0.1%
8513
0.1%
8412
0.1%
8318
0.1%

mentality_composure
Real number (ℝ≥0)

HIGH CORRELATION

Distinct85
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.52877777
Minimum12
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum12
5-th percentile37
Q151
median60
Q367
95-th percentile76
Maximum96
Range84
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.88084033
Coefficient of variation (CV)0.2029914305
Kurtosis0.3264259955
Mean58.52877777
Median Absolute Deviation (MAD)8
Skewness-0.4638885244
Sum1069789
Variance141.1543668
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58732
 
4.0%
60728
 
4.0%
65703
 
3.8%
62697
 
3.8%
55662
 
3.6%
64657
 
3.6%
63609
 
3.3%
59591
 
3.2%
68591
 
3.2%
56557
 
3.0%
Other values (75)11751
64.3%
ValueCountFrequency (%)
123
 
< 0.1%
134
 
< 0.1%
141
 
< 0.1%
152
 
< 0.1%
162
 
< 0.1%
172
 
< 0.1%
184
 
< 0.1%
192
 
< 0.1%
207
 
< 0.1%
2129
0.2%
ValueCountFrequency (%)
961
 
< 0.1%
952
 
< 0.1%
941
 
< 0.1%
931
 
< 0.1%
925
 
< 0.1%
914
 
< 0.1%
905
 
< 0.1%
895
 
< 0.1%
886
 
< 0.1%
8718
0.1%

defending_marking
Real number (ℝ≥0)

HIGH CORRELATION

Distinct92
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.84888938
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile12
Q129
median52
Q364
95-th percentile74
Maximum94
Range93
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.09128731
Coefficient of variation (CV)0.4288530117
Kurtosis-1.099496279
Mean46.84888938
Median Absolute Deviation (MAD)15
Skewness-0.3460610475
Sum856304
Variance403.6598256
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60518
 
2.8%
65510
 
2.8%
64494
 
2.7%
62489
 
2.7%
58486
 
2.7%
66459
 
2.5%
63423
 
2.3%
55415
 
2.3%
68414
 
2.3%
59407
 
2.2%
Other values (82)13663
74.8%
ValueCountFrequency (%)
11
 
< 0.1%
31
 
< 0.1%
42
 
< 0.1%
546
 
0.3%
655
 
0.3%
772
0.4%
8109
0.6%
9116
0.6%
10162
0.9%
11152
0.8%
ValueCountFrequency (%)
941
 
< 0.1%
921
 
< 0.1%
912
 
< 0.1%
908
< 0.1%
893
 
< 0.1%
886
< 0.1%
875
 
< 0.1%
869
< 0.1%
8514
0.1%
8412
0.1%

defending_standing_tackle
Real number (ℝ≥0)

HIGH CORRELATION

Distinct88
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.64033264
Minimum5
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum5
5-th percentile13
Q127
median55
Q366
95-th percentile75
Maximum92
Range87
Interquartile range (IQR)39

Descriptive statistics

Standard deviation21.58564105
Coefficient of variation (CV)0.4530959348
Kurtosis-1.301904281
Mean47.64033264
Median Absolute Deviation (MAD)16
Skewness-0.3425866337
Sum870770
Variance465.9398997
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64616
 
3.4%
65595
 
3.3%
66547
 
3.0%
63532
 
2.9%
68519
 
2.8%
67504
 
2.8%
62502
 
2.7%
70445
 
2.4%
13413
 
2.3%
60400
 
2.2%
Other values (78)13205
72.2%
ValueCountFrequency (%)
51
 
< 0.1%
63
 
< 0.1%
79
 
< 0.1%
816
 
0.1%
939
 
0.2%
10181
1.0%
11312
1.7%
12341
1.9%
13413
2.3%
14389
2.1%
ValueCountFrequency (%)
921
 
< 0.1%
912
 
< 0.1%
903
 
< 0.1%
894
 
< 0.1%
884
 
< 0.1%
8713
 
0.1%
8615
 
0.1%
8517
 
0.1%
8427
0.1%
8345
0.2%

defending_sliding_tackle
Real number (ℝ≥0)

HIGH CORRELATION

Distinct88
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.60663092
Minimum3
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum3
5-th percentile12
Q124
median52
Q364
95-th percentile74
Maximum90
Range87
Interquartile range (IQR)40

Descriptive statistics

Standard deviation21.21773423
Coefficient of variation (CV)0.4652335373
Kurtosis-1.354927422
Mean45.60663092
Median Absolute Deviation (MAD)16
Skewness-0.2741578501
Sum833598
Variance450.1922458
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62563
 
3.1%
64556
 
3.0%
63547
 
3.0%
65505
 
2.8%
60472
 
2.6%
66471
 
2.6%
61453
 
2.5%
12428
 
2.3%
13426
 
2.3%
68422
 
2.3%
Other values (78)13435
73.5%
ValueCountFrequency (%)
31
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
62
 
< 0.1%
74
 
< 0.1%
814
 
0.1%
944
 
0.2%
10205
1.1%
11329
1.8%
12428
2.3%
ValueCountFrequency (%)
902
 
< 0.1%
892
 
< 0.1%
884
 
< 0.1%
875
 
< 0.1%
8612
 
0.1%
8513
 
0.1%
8413
 
0.1%
8316
0.1%
8233
0.2%
8138
0.2%

goalkeeping_diving
Real number (ℝ≥0)

HIGH CORRELATION

Distinct73
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.57276507
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile6
Q18
median11
Q314
95-th percentile66
Maximum90
Range89
Interquartile range (IQR)6

Descriptive statistics

Standard deviation17.73806906
Coefficient of variation (CV)1.070314397
Kurtosis4.445187147
Mean16.57276507
Median Absolute Deviation (MAD)3
Skewness2.442975245
Sum302917
Variance314.6390941
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81621
8.9%
91607
8.8%
71602
8.8%
121589
8.7%
101588
8.7%
141584
8.7%
131553
8.5%
111546
8.5%
61345
7.4%
151205
 
6.6%
Other values (63)3038
16.6%
ValueCountFrequency (%)
111
 
0.1%
25
 
< 0.1%
317
 
0.1%
423
 
0.1%
5450
 
2.5%
61345
7.4%
71602
8.8%
81621
8.9%
91607
8.8%
101588
8.7%
ValueCountFrequency (%)
903
 
< 0.1%
891
 
< 0.1%
882
 
< 0.1%
873
 
< 0.1%
864
 
< 0.1%
856
 
< 0.1%
8410
0.1%
837
< 0.1%
8215
0.1%
8112
0.1%

goalkeeping_handling
Real number (ℝ≥0)

HIGH CORRELATION

Distinct71
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.35485283
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile6
Q18
median11
Q314
95-th percentile64
Maximum92
Range91
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.99692518
Coefficient of variation (CV)1.039258828
Kurtosis4.397253099
Mean16.35485283
Median Absolute Deviation (MAD)3
Skewness2.429535778
Sum298934
Variance288.8954656
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111621
8.9%
121615
8.8%
101613
8.8%
71599
8.7%
81595
8.7%
141585
8.7%
91573
8.6%
131542
8.4%
61300
7.1%
151156
 
6.3%
Other values (61)3079
16.8%
ValueCountFrequency (%)
111
 
0.1%
27
 
< 0.1%
319
 
0.1%
420
 
0.1%
5418
 
2.3%
61300
7.1%
71599
8.7%
81595
8.7%
91573
8.6%
101613
8.8%
ValueCountFrequency (%)
921
 
< 0.1%
891
 
< 0.1%
871
 
< 0.1%
861
 
< 0.1%
853
 
< 0.1%
845
< 0.1%
833
 
< 0.1%
8212
0.1%
816
< 0.1%
8011
0.1%

goalkeeping_kicking
Real number (ℝ≥0)

HIGH CORRELATION

Distinct81
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.21293358
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile6
Q18
median11
Q314
95-th percentile62
Maximum93
Range92
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.61366476
Coefficient of variation (CV)1.02471676
Kurtosis4.460612322
Mean16.21293358
Median Absolute Deviation (MAD)3
Skewness2.432849777
Sum296340
Variance276.0138569
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91684
9.2%
121634
8.9%
131617
8.8%
71603
8.8%
101576
8.6%
141562
8.5%
81555
8.5%
111538
8.4%
61259
 
6.9%
151101
 
6.0%
Other values (71)3149
17.2%
ValueCountFrequency (%)
112
 
0.1%
25
 
< 0.1%
320
 
0.1%
418
 
0.1%
5459
 
2.5%
61259
6.9%
71603
8.8%
81555
8.5%
91684
9.2%
101576
8.6%
ValueCountFrequency (%)
931
 
< 0.1%
911
 
< 0.1%
901
 
< 0.1%
881
 
< 0.1%
871
 
< 0.1%
862
 
< 0.1%
852
 
< 0.1%
843
< 0.1%
824
< 0.1%
817
< 0.1%

goalkeeping_positioning
Real number (ℝ≥0)

HIGH CORRELATION

Distinct76
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.36803808
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile6
Q18
median11
Q314
95-th percentile65
Maximum91
Range90
Interquartile range (IQR)6

Descriptive statistics

Standard deviation17.13649698
Coefficient of variation (CV)1.046948748
Kurtosis4.594685654
Mean16.36803808
Median Absolute Deviation (MAD)3
Skewness2.460665744
Sum299175
Variance293.6595288
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81647
9.0%
101636
9.0%
111623
8.9%
91614
8.8%
71579
8.6%
121578
8.6%
141539
8.4%
131514
8.3%
61264
6.9%
151224
 
6.7%
Other values (66)3060
16.7%
ValueCountFrequency (%)
111
 
0.1%
26
 
< 0.1%
314
 
0.1%
425
 
0.1%
5440
 
2.4%
61264
6.9%
71579
8.6%
81647
9.0%
91614
8.8%
101636
9.0%
ValueCountFrequency (%)
911
 
< 0.1%
902
 
< 0.1%
891
 
< 0.1%
881
 
< 0.1%
864
 
< 0.1%
854
 
< 0.1%
845
 
< 0.1%
834
 
< 0.1%
8214
0.1%
8110
0.1%

goalkeeping_reflexes
Real number (ℝ≥0)

HIGH CORRELATION

Distinct75
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.7099245
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size142.9 KiB

Quantile statistics

Minimum1
5-th percentile6
Q18
median11
Q314
95-th percentile67
Maximum92
Range91
Interquartile range (IQR)6

Descriptive statistics

Standard deviation18.03812541
Coefficient of variation (CV)1.079485752
Kurtosis4.516406184
Mean16.7099245
Median Absolute Deviation (MAD)3
Skewness2.455487658
Sum305424
Variance325.3739684
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111650
9.0%
121615
8.8%
81590
8.7%
91588
8.7%
101586
8.7%
131574
8.6%
141565
8.6%
71554
8.5%
61311
7.2%
151175
 
6.4%
Other values (65)3070
16.8%
ValueCountFrequency (%)
111
 
0.1%
23
 
< 0.1%
322
 
0.1%
423
 
0.1%
5448
 
2.5%
61311
7.2%
71554
8.5%
81590
8.7%
91588
8.7%
101586
8.7%
ValueCountFrequency (%)
921
 
< 0.1%
911
 
< 0.1%
903
 
< 0.1%
895
 
< 0.1%
885
 
< 0.1%
875
 
< 0.1%
866
 
< 0.1%
857
< 0.1%
8413
0.1%
8317
0.1%

ls
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct94
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
725
58+2
 
710
57+2
 
706
63+2
 
706
60+2
 
684
Other values (89)
12711 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row89+2
2nd row91+3
3rd row84+3
4th row83+3
5th row82+3

Common Values

ValueCountFrequency (%)
61+2725
 
4.0%
58+2710
 
3.9%
57+2706
 
3.9%
63+2706
 
3.9%
60+2684
 
3.7%
59+2651
 
3.6%
62+2641
 
3.5%
64+2639
 
3.5%
55+2578
 
3.2%
56+2567
 
3.1%
Other values (84)9635
52.7%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2725
 
4.5%
58+2710
 
4.4%
57+2706
 
4.3%
63+2706
 
4.3%
60+2684
 
4.2%
59+2651
 
4.0%
62+2641
 
3.9%
64+2639
 
3.9%
55+2578
 
3.6%
56+2567
 
3.5%
Other values (84)9635
59.3%

Most occurring characters

ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217539
36.0%
67360
15.1%
57278
14.9%
44317
 
8.9%
73212
 
6.6%
32423
 
5.0%
11744
 
3.6%
81690
 
3.5%
01602
 
3.3%
91561
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

st
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct94
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
725
58+2
 
710
57+2
 
706
63+2
 
706
60+2
 
684
Other values (89)
12711 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row89+2
2nd row91+3
3rd row84+3
4th row83+3
5th row82+3

Common Values

ValueCountFrequency (%)
61+2725
 
4.0%
58+2710
 
3.9%
57+2706
 
3.9%
63+2706
 
3.9%
60+2684
 
3.7%
59+2651
 
3.6%
62+2641
 
3.5%
64+2639
 
3.5%
55+2578
 
3.2%
56+2567
 
3.1%
Other values (84)9635
52.7%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2725
 
4.5%
58+2710
 
4.4%
57+2706
 
4.3%
63+2706
 
4.3%
60+2684
 
4.2%
59+2651
 
4.0%
62+2641
 
3.9%
64+2639
 
3.9%
55+2578
 
3.6%
56+2567
 
3.5%
Other values (84)9635
59.3%

Most occurring characters

ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217539
36.0%
67360
15.1%
57278
14.9%
44317
 
8.9%
73212
 
6.6%
32423
 
5.0%
11744
 
3.6%
81690
 
3.5%
01602
 
3.3%
91561
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

rs
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct94
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
725
58+2
 
710
57+2
 
706
63+2
 
706
60+2
 
684
Other values (89)
12711 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row89+2
2nd row91+3
3rd row84+3
4th row83+3
5th row82+3

Common Values

ValueCountFrequency (%)
61+2725
 
4.0%
58+2710
 
3.9%
57+2706
 
3.9%
63+2706
 
3.9%
60+2684
 
3.7%
59+2651
 
3.6%
62+2641
 
3.5%
64+2639
 
3.5%
55+2578
 
3.2%
56+2567
 
3.1%
Other values (84)9635
52.7%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2725
 
4.5%
58+2710
 
4.4%
57+2706
 
4.3%
63+2706
 
4.3%
60+2684
 
4.2%
59+2651
 
4.0%
62+2641
 
3.9%
64+2639
 
3.9%
55+2578
 
3.6%
56+2567
 
3.5%
Other values (84)9635
59.3%

Most occurring characters

ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217539
36.0%
67360
15.1%
57278
14.9%
44317
 
8.9%
73212
 
6.6%
32423
 
5.0%
11744
 
3.6%
81690
 
3.5%
01602
 
3.3%
91561
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217539
27.0%
+16242
25.0%
67360
11.3%
57278
11.2%
44317
 
6.6%
73212
 
4.9%
32423
 
3.7%
11744
 
2.7%
81690
 
2.6%
01602
 
2.5%

lw
Categorical

HIGH CARDINALITY
MISSING

Distinct107
Distinct (%)0.7%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
736
64+2
 
731
60+2
 
700
59+2
 
695
61+2
 
694
Other values (102)
12686 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row89+3
3rd row90+3
4th row89+3
5th row87+3

Common Values

ValueCountFrequency (%)
63+2736
 
4.0%
64+2731
 
4.0%
60+2700
 
3.8%
59+2695
 
3.8%
61+2694
 
3.8%
62+2681
 
3.7%
65+2677
 
3.7%
58+2623
 
3.4%
66+2612
 
3.3%
57+2589
 
3.2%
Other values (97)9504
52.0%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2736
 
4.5%
64+2731
 
4.5%
60+2700
 
4.3%
59+2695
 
4.3%
61+2694
 
4.3%
62+2681
 
4.2%
65+2677
 
4.2%
58+2623
 
3.8%
66+2612
 
3.8%
57+2589
 
3.6%
Other values (97)9504
58.5%

Most occurring characters

ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
67981
12.3%
56689
 
10.3%
43654
 
5.6%
73628
 
5.6%
32656
 
4.1%
81685
 
2.6%
91638
 
2.5%
11614
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217587
36.1%
67981
16.4%
56689
 
13.7%
43654
 
7.5%
73628
 
7.4%
32656
 
5.5%
81685
 
3.5%
91638
 
3.4%
11614
 
3.3%
01594
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
67981
12.3%
56689
 
10.3%
43654
 
5.6%
73628
 
5.6%
32656
 
4.1%
81685
 
2.6%
91638
 
2.5%
11614
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
67981
12.3%
56689
 
10.3%
43654
 
5.6%
73628
 
5.6%
32656
 
4.1%
81685
 
2.6%
91638
 
2.5%
11614
 
2.5%

lf
Categorical

HIGH CARDINALITY
MISSING

Distinct103
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
727
60+2
 
725
62+2
 
713
61+2
 
702
64+2
 
683
Other values (98)
12692 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row90+3
3rd row89+3
4th row88+3
5th row87+3

Common Values

ValueCountFrequency (%)
63+2727
 
4.0%
60+2725
 
4.0%
62+2713
 
3.9%
61+2702
 
3.8%
64+2683
 
3.7%
59+2668
 
3.7%
65+2632
 
3.5%
58+2596
 
3.3%
66+2596
 
3.3%
57+2581
 
3.2%
Other values (93)9619
52.6%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2727
 
4.5%
60+2725
 
4.5%
62+2713
 
4.4%
61+2702
 
4.3%
64+2683
 
4.2%
59+2668
 
4.1%
65+2632
 
3.9%
58+2596
 
3.7%
66+2596
 
3.7%
57+2581
 
3.6%
Other values (93)9619
59.2%

Most occurring characters

ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217552
36.0%
67904
16.2%
56695
 
13.7%
43750
 
7.7%
73500
 
7.2%
32666
 
5.5%
01692
 
3.5%
81673
 
3.4%
11662
 
3.4%
91632
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

cf
Categorical

HIGH CARDINALITY
MISSING

Distinct103
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
727
60+2
 
725
62+2
 
713
61+2
 
702
64+2
 
683
Other values (98)
12692 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row90+3
3rd row89+3
4th row88+3
5th row87+3

Common Values

ValueCountFrequency (%)
63+2727
 
4.0%
60+2725
 
4.0%
62+2713
 
3.9%
61+2702
 
3.8%
64+2683
 
3.7%
59+2668
 
3.7%
65+2632
 
3.5%
58+2596
 
3.3%
66+2596
 
3.3%
57+2581
 
3.2%
Other values (93)9619
52.6%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2727
 
4.5%
60+2725
 
4.5%
62+2713
 
4.4%
61+2702
 
4.3%
64+2683
 
4.2%
59+2668
 
4.1%
65+2632
 
3.9%
58+2596
 
3.7%
66+2596
 
3.7%
57+2581
 
3.6%
Other values (93)9619
59.2%

Most occurring characters

ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217552
36.0%
67904
16.2%
56695
 
13.7%
43750
 
7.7%
73500
 
7.2%
32666
 
5.5%
01692
 
3.5%
81673
 
3.4%
11662
 
3.4%
91632
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

rf
Categorical

HIGH CARDINALITY
MISSING

Distinct103
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
727
60+2
 
725
62+2
 
713
61+2
 
702
64+2
 
683
Other values (98)
12692 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row90+3
3rd row89+3
4th row88+3
5th row87+3

Common Values

ValueCountFrequency (%)
63+2727
 
4.0%
60+2725
 
4.0%
62+2713
 
3.9%
61+2702
 
3.8%
64+2683
 
3.7%
59+2668
 
3.7%
65+2632
 
3.5%
58+2596
 
3.3%
66+2596
 
3.3%
57+2581
 
3.2%
Other values (93)9619
52.6%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2727
 
4.5%
60+2725
 
4.5%
62+2713
 
4.4%
61+2702
 
4.3%
64+2683
 
4.2%
59+2668
 
4.1%
65+2632
 
3.9%
58+2596
 
3.7%
66+2596
 
3.7%
57+2581
 
3.6%
Other values (93)9619
59.2%

Most occurring characters

ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217552
36.0%
67904
16.2%
56695
 
13.7%
43750
 
7.7%
73500
 
7.2%
32666
 
5.5%
01692
 
3.5%
81673
 
3.4%
11662
 
3.4%
91632
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217552
27.0%
+16242
25.0%
67904
12.2%
56695
 
10.3%
43750
 
5.8%
73500
 
5.4%
32666
 
4.1%
01692
 
2.6%
81673
 
2.6%
11662
 
2.6%

rw
Categorical

HIGH CARDINALITY
MISSING

Distinct107
Distinct (%)0.7%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
736
64+2
 
731
60+2
 
700
59+2
 
695
61+2
 
694
Other values (102)
12686 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row89+3
3rd row90+3
4th row89+3
5th row87+3

Common Values

ValueCountFrequency (%)
63+2736
 
4.0%
64+2731
 
4.0%
60+2700
 
3.8%
59+2695
 
3.8%
61+2694
 
3.8%
62+2681
 
3.7%
65+2677
 
3.7%
58+2623
 
3.4%
66+2612
 
3.3%
57+2589
 
3.2%
Other values (97)9504
52.0%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2736
 
4.5%
64+2731
 
4.5%
60+2700
 
4.3%
59+2695
 
4.3%
61+2694
 
4.3%
62+2681
 
4.2%
65+2677
 
4.2%
58+2623
 
3.8%
66+2612
 
3.8%
57+2589
 
3.6%
Other values (97)9504
58.5%

Most occurring characters

ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
67981
12.3%
56689
 
10.3%
43654
 
5.6%
73628
 
5.6%
32656
 
4.1%
81685
 
2.6%
91638
 
2.5%
11614
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217587
36.1%
67981
16.4%
56689
 
13.7%
43654
 
7.5%
73628
 
7.4%
32656
 
5.5%
81685
 
3.5%
91638
 
3.4%
11614
 
3.3%
01594
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
67981
12.3%
56689
 
10.3%
43654
 
5.6%
73628
 
5.6%
32656
 
4.1%
81685
 
2.6%
91638
 
2.5%
11614
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
67981
12.3%
56689
 
10.3%
43654
 
5.6%
73628
 
5.6%
32656
 
4.1%
81685
 
2.6%
91638
 
2.5%
11614
 
2.5%

lam
Categorical

HIGH CARDINALITY
MISSING

Distinct103
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
748
62+2
 
736
63+2
 
736
64+2
 
680
60+2
 
671
Other values (98)
12671 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row88+3
3rd row90+3
4th row89+3
5th row88+3

Common Values

ValueCountFrequency (%)
61+2748
 
4.1%
62+2736
 
4.0%
63+2736
 
4.0%
64+2680
 
3.7%
60+2671
 
3.7%
58+2662
 
3.6%
59+2659
 
3.6%
65+2654
 
3.6%
57+2627
 
3.4%
66+2595
 
3.3%
Other values (93)9474
51.8%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2748
 
4.6%
62+2736
 
4.5%
63+2736
 
4.5%
64+2680
 
4.2%
60+2671
 
4.1%
58+2662
 
4.1%
59+2659
 
4.1%
65+2654
 
4.0%
57+2627
 
3.9%
66+2595
 
3.7%
Other values (93)9474
58.3%

Most occurring characters

ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217652
36.2%
67889
16.2%
56760
 
13.9%
43660
 
7.5%
73606
 
7.4%
32598
 
5.3%
81746
 
3.6%
11629
 
3.3%
01606
 
3.3%
91580
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

cam
Categorical

HIGH CARDINALITY
MISSING

Distinct103
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
748
62+2
 
736
63+2
 
736
64+2
 
680
60+2
 
671
Other values (98)
12671 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row88+3
3rd row90+3
4th row89+3
5th row88+3

Common Values

ValueCountFrequency (%)
61+2748
 
4.1%
62+2736
 
4.0%
63+2736
 
4.0%
64+2680
 
3.7%
60+2671
 
3.7%
58+2662
 
3.6%
59+2659
 
3.6%
65+2654
 
3.6%
57+2627
 
3.4%
66+2595
 
3.3%
Other values (93)9474
51.8%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2748
 
4.6%
62+2736
 
4.5%
63+2736
 
4.5%
64+2680
 
4.2%
60+2671
 
4.1%
58+2662
 
4.1%
59+2659
 
4.1%
65+2654
 
4.0%
57+2627
 
3.9%
66+2595
 
3.7%
Other values (93)9474
58.3%

Most occurring characters

ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217652
36.2%
67889
16.2%
56760
 
13.9%
43660
 
7.5%
73606
 
7.4%
32598
 
5.3%
81746
 
3.6%
11629
 
3.3%
01606
 
3.3%
91580
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

ram
Categorical

HIGH CARDINALITY
MISSING

Distinct103
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
748
62+2
 
736
63+2
 
736
64+2
 
680
60+2
 
671
Other values (98)
12671 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row93+2
2nd row88+3
3rd row90+3
4th row89+3
5th row88+3

Common Values

ValueCountFrequency (%)
61+2748
 
4.1%
62+2736
 
4.0%
63+2736
 
4.0%
64+2680
 
3.7%
60+2671
 
3.7%
58+2662
 
3.6%
59+2659
 
3.6%
65+2654
 
3.6%
57+2627
 
3.4%
66+2595
 
3.3%
Other values (93)9474
51.8%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2748
 
4.6%
62+2736
 
4.5%
63+2736
 
4.5%
64+2680
 
4.2%
60+2671
 
4.1%
58+2662
 
4.1%
59+2659
 
4.1%
65+2654
 
4.0%
57+2627
 
3.9%
66+2595
 
3.7%
Other values (93)9474
58.3%

Most occurring characters

ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217652
36.2%
67889
16.2%
56760
 
13.9%
43660
 
7.5%
73606
 
7.4%
32598
 
5.3%
81746
 
3.6%
11629
 
3.3%
01606
 
3.3%
91580
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217652
27.2%
+16242
25.0%
67889
12.1%
56760
 
10.4%
43660
 
5.6%
73606
 
5.6%
32598
 
4.0%
81746
 
2.7%
11629
 
2.5%
01606
 
2.5%

lm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct100
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
809
63+2
 
763
64+2
 
729
62+2
 
726
65+2
 
726
Other values (95)
12489 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row92+2
2nd row88+3
3rd row89+3
4th row89+3
5th row88+3

Common Values

ValueCountFrequency (%)
61+2809
 
4.4%
63+2763
 
4.2%
64+2729
 
4.0%
62+2726
 
4.0%
65+2726
 
4.0%
60+2718
 
3.9%
66+2688
 
3.8%
58+2674
 
3.7%
59+2661
 
3.6%
57+2623
 
3.4%
Other values (90)9125
49.9%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2809
 
5.0%
63+2763
 
4.7%
64+2729
 
4.5%
62+2726
 
4.5%
65+2726
 
4.5%
60+2718
 
4.4%
66+2688
 
4.2%
58+2674
 
4.1%
59+2661
 
4.1%
57+2623
 
3.8%
Other values (90)9125
56.2%

Most occurring characters

ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
68374
12.9%
56662
 
10.3%
73664
 
5.6%
43500
 
5.4%
32376
 
3.7%
81702
 
2.6%
11679
 
2.6%
01645
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217587
36.1%
68374
17.2%
56662
 
13.7%
73664
 
7.5%
43500
 
7.2%
32376
 
4.9%
81702
 
3.5%
11679
 
3.4%
01645
 
3.4%
91537
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
68374
12.9%
56662
 
10.3%
73664
 
5.6%
43500
 
5.4%
32376
 
3.7%
81702
 
2.6%
11679
 
2.6%
01645
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
68374
12.9%
56662
 
10.3%
73664
 
5.6%
43500
 
5.4%
32376
 
3.7%
81702
 
2.6%
11679
 
2.6%
01645
 
2.5%

lcm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct88
Distinct (%)0.5%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
58+2
 
775
59+2
 
737
61+2
 
734
60+2
 
731
63+2
 
714
Other values (83)
12551 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)< 0.1%

Sample

1st row87+2
2nd row81+3
3rd row82+3
4th row83+3
5th row87+3

Common Values

ValueCountFrequency (%)
58+2775
 
4.2%
59+2737
 
4.0%
61+2734
 
4.0%
60+2731
 
4.0%
63+2714
 
3.9%
62+2698
 
3.8%
57+2695
 
3.8%
56+2669
 
3.7%
54+2641
 
3.5%
64+2634
 
3.5%
Other values (78)9214
50.4%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
58+2775
 
4.8%
59+2737
 
4.5%
61+2734
 
4.5%
60+2731
 
4.5%
63+2714
 
4.4%
62+2698
 
4.3%
57+2695
 
4.3%
56+2669
 
4.1%
54+2641
 
3.9%
64+2634
 
3.9%
Other values (78)9214
56.7%

Most occurring characters

ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217582
36.1%
57728
15.9%
67412
15.2%
44013
 
8.2%
73102
 
6.4%
32301
 
4.7%
81763
 
3.6%
91613
 
3.3%
11606
 
3.3%
01606
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

cm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct88
Distinct (%)0.5%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
58+2
 
775
59+2
 
737
61+2
 
734
60+2
 
731
63+2
 
714
Other values (83)
12551 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)< 0.1%

Sample

1st row87+2
2nd row81+3
3rd row82+3
4th row83+3
5th row87+3

Common Values

ValueCountFrequency (%)
58+2775
 
4.2%
59+2737
 
4.0%
61+2734
 
4.0%
60+2731
 
4.0%
63+2714
 
3.9%
62+2698
 
3.8%
57+2695
 
3.8%
56+2669
 
3.7%
54+2641
 
3.5%
64+2634
 
3.5%
Other values (78)9214
50.4%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
58+2775
 
4.8%
59+2737
 
4.5%
61+2734
 
4.5%
60+2731
 
4.5%
63+2714
 
4.4%
62+2698
 
4.3%
57+2695
 
4.3%
56+2669
 
4.1%
54+2641
 
3.9%
64+2634
 
3.9%
Other values (78)9214
56.7%

Most occurring characters

ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217582
36.1%
57728
15.9%
67412
15.2%
44013
 
8.2%
73102
 
6.4%
32301
 
4.7%
81763
 
3.6%
91613
 
3.3%
11606
 
3.3%
01606
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

rcm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct88
Distinct (%)0.5%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
58+2
 
775
59+2
 
737
61+2
 
734
60+2
 
731
63+2
 
714
Other values (83)
12551 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)< 0.1%

Sample

1st row87+2
2nd row81+3
3rd row82+3
4th row83+3
5th row87+3

Common Values

ValueCountFrequency (%)
58+2775
 
4.2%
59+2737
 
4.0%
61+2734
 
4.0%
60+2731
 
4.0%
63+2714
 
3.9%
62+2698
 
3.8%
57+2695
 
3.8%
56+2669
 
3.7%
54+2641
 
3.5%
64+2634
 
3.5%
Other values (78)9214
50.4%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
58+2775
 
4.8%
59+2737
 
4.5%
61+2734
 
4.5%
60+2731
 
4.5%
63+2714
 
4.4%
62+2698
 
4.3%
57+2695
 
4.3%
56+2669
 
4.1%
54+2641
 
3.9%
64+2634
 
3.9%
Other values (78)9214
56.7%

Most occurring characters

ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217582
36.1%
57728
15.9%
67412
15.2%
44013
 
8.2%
73102
 
6.4%
32301
 
4.7%
81763
 
3.6%
91613
 
3.3%
11606
 
3.3%
01606
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217582
27.1%
+16242
25.0%
57728
11.9%
67412
11.4%
44013
 
6.2%
73102
 
4.8%
32301
 
3.5%
81763
 
2.7%
91613
 
2.5%
11606
 
2.5%

rm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct100
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
809
63+2
 
763
64+2
 
729
62+2
 
726
65+2
 
726
Other values (95)
12489 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row92+2
2nd row88+3
3rd row89+3
4th row89+3
5th row88+3

Common Values

ValueCountFrequency (%)
61+2809
 
4.4%
63+2763
 
4.2%
64+2729
 
4.0%
62+2726
 
4.0%
65+2726
 
4.0%
60+2718
 
3.9%
66+2688
 
3.8%
58+2674
 
3.7%
59+2661
 
3.6%
57+2623
 
3.4%
Other values (90)9125
49.9%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2809
 
5.0%
63+2763
 
4.7%
64+2729
 
4.5%
62+2726
 
4.5%
65+2726
 
4.5%
60+2718
 
4.4%
66+2688
 
4.2%
58+2674
 
4.1%
59+2661
 
4.1%
57+2623
 
3.8%
Other values (90)9125
56.2%

Most occurring characters

ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
68374
12.9%
56662
 
10.3%
73664
 
5.6%
43500
 
5.4%
32376
 
3.7%
81702
 
2.6%
11679
 
2.6%
01645
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217587
36.1%
68374
17.2%
56662
 
13.7%
73664
 
7.5%
43500
 
7.2%
32376
 
4.9%
81702
 
3.5%
11679
 
3.4%
01645
 
3.4%
91537
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
68374
12.9%
56662
 
10.3%
73664
 
5.6%
43500
 
5.4%
32376
 
3.7%
81702
 
2.6%
11679
 
2.6%
01645
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217587
27.1%
+16242
25.0%
68374
12.9%
56662
 
10.3%
73664
 
5.6%
43500
 
5.4%
32376
 
3.7%
81702
 
2.6%
11679
 
2.6%
01645
 
2.5%

lwb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct98
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
59+2
 
682
62+2
 
668
57+2
 
664
61+2
 
656
55+2
 
648
Other values (93)
12924 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row68+2
2nd row65+3
3rd row66+3
4th row66+3
5th row77+3

Common Values

ValueCountFrequency (%)
59+2682
 
3.7%
62+2668
 
3.7%
57+2664
 
3.6%
61+2656
 
3.6%
55+2648
 
3.5%
60+2640
 
3.5%
56+2639
 
3.5%
58+2634
 
3.5%
63+2625
 
3.4%
54+2618
 
3.4%
Other values (88)9768
53.4%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
59+2682
 
4.2%
62+2668
 
4.1%
57+2664
 
4.1%
61+2656
 
4.0%
55+2648
 
4.0%
60+2640
 
3.9%
56+2639
 
3.9%
58+2634
 
3.9%
63+2625
 
3.8%
54+2618
 
3.8%
Other values (88)9768
60.1%

Most occurring characters

ValueCountFrequency (%)
217592
27.1%
+16242
25.0%
57682
11.8%
67155
11.0%
44471
 
6.9%
73002
 
4.6%
32336
 
3.6%
81640
 
2.5%
91634
 
2.5%
11624
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217592
36.1%
57682
15.8%
67155
14.7%
44471
 
9.2%
73002
 
6.2%
32336
 
4.8%
81640
 
3.4%
91634
 
3.4%
11624
 
3.3%
01590
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217592
27.1%
+16242
25.0%
57682
11.8%
67155
11.0%
44471
 
6.9%
73002
 
4.6%
32336
 
3.6%
81640
 
2.5%
91634
 
2.5%
11624
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217592
27.1%
+16242
25.0%
57682
11.8%
67155
11.0%
44471
 
6.9%
73002
 
4.6%
32336
 
3.6%
81640
 
2.5%
91634
 
2.5%
11624
 
2.5%

ldm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct98
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
59+2
 
636
62+2
 
625
58+2
 
612
63+2
 
609
64+2
 
563
Other values (93)
13197 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)< 0.1%

Sample

1st row66+2
2nd row61+3
3rd row61+3
4th row63+3
5th row77+3

Common Values

ValueCountFrequency (%)
59+2636
 
3.5%
62+2625
 
3.4%
58+2612
 
3.3%
63+2609
 
3.3%
64+2563
 
3.1%
60+2562
 
3.1%
61+2554
 
3.0%
57+2524
 
2.9%
66+2521
 
2.9%
56+2519
 
2.8%
Other values (88)10517
57.5%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
59+2636
 
3.9%
62+2625
 
3.8%
58+2612
 
3.8%
63+2609
 
3.7%
64+2563
 
3.5%
60+2562
 
3.5%
61+2554
 
3.4%
57+2524
 
3.2%
66+2521
 
3.2%
56+2519
 
3.2%
Other values (88)10517
64.8%

Most occurring characters

ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217565
36.0%
66934
 
14.2%
56754
 
13.9%
44998
 
10.3%
73150
 
6.5%
32825
 
5.8%
81764
 
3.6%
91672
 
3.4%
01547
 
3.2%
11517
 
3.1%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

cdm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct98
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
59+2
 
636
62+2
 
625
58+2
 
612
63+2
 
609
64+2
 
563
Other values (93)
13197 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)< 0.1%

Sample

1st row66+2
2nd row61+3
3rd row61+3
4th row63+3
5th row77+3

Common Values

ValueCountFrequency (%)
59+2636
 
3.5%
62+2625
 
3.4%
58+2612
 
3.3%
63+2609
 
3.3%
64+2563
 
3.1%
60+2562
 
3.1%
61+2554
 
3.0%
57+2524
 
2.9%
66+2521
 
2.9%
56+2519
 
2.8%
Other values (88)10517
57.5%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
59+2636
 
3.9%
62+2625
 
3.8%
58+2612
 
3.8%
63+2609
 
3.7%
64+2563
 
3.5%
60+2562
 
3.5%
61+2554
 
3.4%
57+2524
 
3.2%
66+2521
 
3.2%
56+2519
 
3.2%
Other values (88)10517
64.8%

Most occurring characters

ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217565
36.0%
66934
 
14.2%
56754
 
13.9%
44998
 
10.3%
73150
 
6.5%
32825
 
5.8%
81764
 
3.6%
91672
 
3.4%
01547
 
3.2%
11517
 
3.1%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

rdm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct98
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
59+2
 
636
62+2
 
625
58+2
 
612
63+2
 
609
64+2
 
563
Other values (93)
13197 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)< 0.1%

Sample

1st row66+2
2nd row61+3
3rd row61+3
4th row63+3
5th row77+3

Common Values

ValueCountFrequency (%)
59+2636
 
3.5%
62+2625
 
3.4%
58+2612
 
3.3%
63+2609
 
3.3%
64+2563
 
3.1%
60+2562
 
3.1%
61+2554
 
3.0%
57+2524
 
2.9%
66+2521
 
2.9%
56+2519
 
2.8%
Other values (88)10517
57.5%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
59+2636
 
3.9%
62+2625
 
3.8%
58+2612
 
3.8%
63+2609
 
3.7%
64+2563
 
3.5%
60+2562
 
3.5%
61+2554
 
3.4%
57+2524
 
3.2%
66+2521
 
3.2%
56+2519
 
3.2%
Other values (88)10517
64.8%

Most occurring characters

ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217565
36.0%
66934
 
14.2%
56754
 
13.9%
44998
 
10.3%
73150
 
6.5%
32825
 
5.8%
81764
 
3.6%
91672
 
3.4%
01547
 
3.2%
11517
 
3.1%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217565
27.0%
+16242
25.0%
66934
 
10.7%
56754
 
10.4%
44998
 
7.7%
73150
 
4.8%
32825
 
4.3%
81764
 
2.7%
91672
 
2.6%
01547
 
2.4%

rwb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct98
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
59+2
 
682
62+2
 
668
57+2
 
664
61+2
 
656
55+2
 
648
Other values (93)
12924 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row68+2
2nd row65+3
3rd row66+3
4th row66+3
5th row77+3

Common Values

ValueCountFrequency (%)
59+2682
 
3.7%
62+2668
 
3.7%
57+2664
 
3.6%
61+2656
 
3.6%
55+2648
 
3.5%
60+2640
 
3.5%
56+2639
 
3.5%
58+2634
 
3.5%
63+2625
 
3.4%
54+2618
 
3.4%
Other values (88)9768
53.4%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
59+2682
 
4.2%
62+2668
 
4.1%
57+2664
 
4.1%
61+2656
 
4.0%
55+2648
 
4.0%
60+2640
 
3.9%
56+2639
 
3.9%
58+2634
 
3.9%
63+2625
 
3.8%
54+2618
 
3.8%
Other values (88)9768
60.1%

Most occurring characters

ValueCountFrequency (%)
217592
27.1%
+16242
25.0%
57682
11.8%
67155
11.0%
44471
 
6.9%
73002
 
4.6%
32336
 
3.6%
81640
 
2.5%
91634
 
2.5%
11624
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217592
36.1%
57682
15.8%
67155
14.7%
44471
 
9.2%
73002
 
6.2%
32336
 
4.8%
81640
 
3.4%
91634
 
3.4%
11624
 
3.3%
01590
 
3.3%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217592
27.1%
+16242
25.0%
57682
11.8%
67155
11.0%
44471
 
6.9%
73002
 
4.6%
32336
 
3.6%
81640
 
2.5%
91634
 
2.5%
11624
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217592
27.1%
+16242
25.0%
57682
11.8%
67155
11.0%
44471
 
6.9%
73002
 
4.6%
32336
 
3.6%
81640
 
2.5%
91634
 
2.5%
11624
 
2.5%

lb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct96
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
667
63+2
 
660
62+2
 
642
59+2
 
639
60+2
 
598
Other values (91)
13036 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row63+2
2nd row61+3
3rd row61+3
4th row61+3
5th row73+3

Common Values

ValueCountFrequency (%)
61+2667
 
3.6%
63+2660
 
3.6%
62+2642
 
3.5%
59+2639
 
3.5%
60+2598
 
3.3%
57+2596
 
3.3%
56+2595
 
3.3%
58+2590
 
3.2%
64+2576
 
3.2%
65+2551
 
3.0%
Other values (86)10128
55.4%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2667
 
4.1%
63+2660
 
4.1%
62+2642
 
4.0%
59+2639
 
3.9%
60+2598
 
3.7%
57+2596
 
3.7%
56+2595
 
3.7%
58+2590
 
3.6%
64+2576
 
3.5%
65+2551
 
3.4%
Other values (86)10128
62.4%

Most occurring characters

ValueCountFrequency (%)
217578
27.1%
+16242
25.0%
67100
10.9%
57083
10.9%
44867
 
7.5%
72975
 
4.6%
32660
 
4.1%
81656
 
2.5%
11623
 
2.5%
91615
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217578
36.1%
67100
14.6%
57083
14.5%
44867
 
10.0%
72975
 
6.1%
32660
 
5.5%
81656
 
3.4%
11623
 
3.3%
91615
 
3.3%
01569
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217578
27.1%
+16242
25.0%
67100
10.9%
57083
10.9%
44867
 
7.5%
72975
 
4.6%
32660
 
4.1%
81656
 
2.5%
11623
 
2.5%
91615
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217578
27.1%
+16242
25.0%
67100
10.9%
57083
10.9%
44867
 
7.5%
72975
 
4.6%
32660
 
4.1%
81656
 
2.5%
11623
 
2.5%
91615
 
2.5%

lcb
Categorical

HIGH CARDINALITY
MISSING

Distinct110
Distinct (%)0.7%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
621
62+2
 
609
64+2
 
599
61+2
 
554
66+2
 
545
Other values (105)
13314 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st row52+2
2nd row53+3
3rd row46+3
4th row49+3
5th row66+3

Common Values

ValueCountFrequency (%)
63+2621
 
3.4%
62+2609
 
3.3%
64+2599
 
3.3%
61+2554
 
3.0%
66+2545
 
3.0%
65+2539
 
2.9%
60+2520
 
2.8%
67+2505
 
2.8%
59+2464
 
2.5%
58+2443
 
2.4%
Other values (100)10843
59.3%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2621
 
3.8%
62+2609
 
3.7%
64+2599
 
3.7%
61+2554
 
3.4%
66+2545
 
3.4%
65+2539
 
3.3%
60+2520
 
3.2%
67+2505
 
3.1%
59+2464
 
2.9%
58+2443
 
2.7%
Other values (100)10843
66.8%

Most occurring characters

ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217694
36.3%
66944
 
14.3%
55358
 
11.0%
45169
 
10.6%
33778
 
7.8%
73272
 
6.7%
81700
 
3.5%
11676
 
3.4%
01607
 
3.3%
91528
 
3.1%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

cb
Categorical

HIGH CARDINALITY
MISSING

Distinct110
Distinct (%)0.7%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
621
62+2
 
609
64+2
 
599
61+2
 
554
66+2
 
545
Other values (105)
13314 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st row52+2
2nd row53+3
3rd row46+3
4th row49+3
5th row66+3

Common Values

ValueCountFrequency (%)
63+2621
 
3.4%
62+2609
 
3.3%
64+2599
 
3.3%
61+2554
 
3.0%
66+2545
 
3.0%
65+2539
 
2.9%
60+2520
 
2.8%
67+2505
 
2.8%
59+2464
 
2.5%
58+2443
 
2.4%
Other values (100)10843
59.3%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2621
 
3.8%
62+2609
 
3.7%
64+2599
 
3.7%
61+2554
 
3.4%
66+2545
 
3.4%
65+2539
 
3.3%
60+2520
 
3.2%
67+2505
 
3.1%
59+2464
 
2.9%
58+2443
 
2.7%
Other values (100)10843
66.8%

Most occurring characters

ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217694
36.3%
66944
 
14.3%
55358
 
11.0%
45169
 
10.6%
33778
 
7.8%
73272
 
6.7%
81700
 
3.5%
11676
 
3.4%
01607
 
3.3%
91528
 
3.1%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

rcb
Categorical

HIGH CARDINALITY
MISSING

Distinct110
Distinct (%)0.7%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
63+2
 
621
62+2
 
609
64+2
 
599
61+2
 
554
66+2
 
545
Other values (105)
13314 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st row52+2
2nd row53+3
3rd row46+3
4th row49+3
5th row66+3

Common Values

ValueCountFrequency (%)
63+2621
 
3.4%
62+2609
 
3.3%
64+2599
 
3.3%
61+2554
 
3.0%
66+2545
 
3.0%
65+2539
 
2.9%
60+2520
 
2.8%
67+2505
 
2.8%
59+2464
 
2.5%
58+2443
 
2.4%
Other values (100)10843
59.3%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
63+2621
 
3.8%
62+2609
 
3.7%
64+2599
 
3.7%
61+2554
 
3.4%
66+2545
 
3.4%
65+2539
 
3.3%
60+2520
 
3.2%
67+2505
 
3.1%
59+2464
 
2.9%
58+2443
 
2.7%
Other values (100)10843
66.8%

Most occurring characters

ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217694
36.3%
66944
 
14.3%
55358
 
11.0%
45169
 
10.6%
33778
 
7.8%
73272
 
6.7%
81700
 
3.5%
11676
 
3.4%
01607
 
3.3%
91528
 
3.1%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217694
27.2%
+16242
25.0%
66944
 
10.7%
55358
 
8.2%
45169
 
8.0%
33778
 
5.8%
73272
 
5.0%
81700
 
2.6%
11676
 
2.6%
01607
 
2.5%

rb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct96
Distinct (%)0.6%
Missing2036
Missing (%)11.1%
Memory size142.9 KiB
61+2
 
667
63+2
 
660
62+2
 
642
59+2
 
639
60+2
 
598
Other values (91)
13036 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters64968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row63+2
2nd row61+3
3rd row61+3
4th row61+3
5th row73+3

Common Values

ValueCountFrequency (%)
61+2667
 
3.6%
63+2660
 
3.6%
62+2642
 
3.5%
59+2639
 
3.5%
60+2598
 
3.3%
57+2596
 
3.3%
56+2595
 
3.3%
58+2590
 
3.2%
64+2576
 
3.2%
65+2551
 
3.0%
Other values (86)10128
55.4%
(Missing)2036
 
11.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
61+2667
 
4.1%
63+2660
 
4.1%
62+2642
 
4.0%
59+2639
 
3.9%
60+2598
 
3.7%
57+2596
 
3.7%
56+2595
 
3.7%
58+2590
 
3.6%
64+2576
 
3.5%
65+2551
 
3.4%
Other values (86)10128
62.4%

Most occurring characters

ValueCountFrequency (%)
217578
27.1%
+16242
25.0%
67100
10.9%
57083
10.9%
44867
 
7.5%
72975
 
4.6%
32660
 
4.1%
81656
 
2.5%
11623
 
2.5%
91615
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number48726
75.0%
Math Symbol16242
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
217578
36.1%
67100
14.6%
57083
14.5%
44867
 
10.0%
72975
 
6.1%
32660
 
5.5%
81656
 
3.4%
11623
 
3.3%
91615
 
3.3%
01569
 
3.2%
Math Symbol
ValueCountFrequency (%)
+16242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
217578
27.1%
+16242
25.0%
67100
10.9%
57083
10.9%
44867
 
7.5%
72975
 
4.6%
32660
 
4.1%
81656
 
2.5%
11623
 
2.5%
91615
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII64968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217578
27.1%
+16242
25.0%
67100
10.9%
57083
10.9%
44867
 
7.5%
72975
 
4.6%
32660
 
4.1%
81656
 
2.5%
11623
 
2.5%
91615
 
2.5%

Correlations

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

sofifa_idplayer_urlshort_namelong_nameagedobheight_cmweight_kgnationalitycluboverallpotentialvalue_eurwage_eurplayer_positionspreferred_footinternational_reputationweak_footskill_moveswork_ratebody_typereal_facerelease_clause_eurplayer_tagsteam_positionteam_jersey_numberloaned_fromjoinedcontract_valid_untilnation_positionnation_jersey_numberpaceshootingpassingdribblingdefendingphysicgk_divinggk_handlinggk_kickinggk_reflexesgk_speedgk_positioningplayer_traitsattacking_crossingattacking_finishingattacking_heading_accuracyattacking_short_passingattacking_volleysskill_dribblingskill_curveskill_fk_accuracyskill_long_passingskill_ball_controlmovement_accelerationmovement_sprint_speedmovement_agilitymovement_reactionsmovement_balancepower_shot_powerpower_jumpingpower_staminapower_strengthpower_long_shotsmentality_aggressionmentality_interceptionsmentality_positioningmentality_visionmentality_penaltiesmentality_composuredefending_markingdefending_standing_tackledefending_sliding_tacklegoalkeeping_divinggoalkeeping_handlinggoalkeeping_kickinggoalkeeping_positioninggoalkeeping_reflexeslsstrslwlfcfrfrwlamcamramlmlcmcmrcmrmlwbldmcdmrdmrwblblcbcbrcbrb
0158023https://sofifa.com/player/158023/lionel-messi/20/159586L. MessiLionel Andrés Messi Cuccittini321987-06-2417072ArgentinaFC Barcelona949495500000565000RW, CF, STLeft544Medium/LowMessiYes195800000.0#Dribbler, #Distance Shooter, #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete ForwardRW10.0NaN2004-07-012021.0NaNNaN87.092.092.096.039.066.0NaNNaNNaNNaNNaNNaNBeat Offside Trap, Argues with Officials, Early Crosser, Finesse Shot, Speed Dribbler (CPU AI Only), 1-on-1 Rush, Giant Throw-in, Outside Foot Shot88957092889793949296918493959586687568944840949475963337266111514889+289+289+293+293+293+293+293+293+293+293+292+287+287+287+292+268+266+266+266+268+263+252+252+252+263+2
120801https://sofifa.com/player/20801/c-ronaldo-dos-santos-aveiro/20/159586Cristiano RonaldoCristiano Ronaldo dos Santos Aveiro341985-02-0518783PortugalJuventus939358500000405000ST, LWRight545High/LowC. RonaldoYes96500000.0#Speedster, #Dribbler, #Distance Shooter, #Acrobat, #Clinical Finisher, #Complete ForwardLW7.0NaN2018-07-102022.0LS7.090.093.082.089.035.078.0NaNNaNNaNNaNNaNNaNLong Throw-in, Selfish, Argues with Officials, Early Crosser, Speed Dribbler (CPU AI Only), Skilled Dribbling849489838789817677928991879671959585789363299582859528322471115141191+391+391+389+390+390+390+389+388+388+388+388+381+381+381+388+365+361+361+361+365+361+353+353+353+361+3
2190871https://sofifa.com/player/190871/neymar-da-silva-santos-jr/20/159586Neymar JrNeymar da Silva Santos Junior271992-02-0517568BrazilParis Saint-Germain9292105500000290000LW, CAMRight555High/MediumNeymarYes195200000.0#Speedster, #Dribbler, #Playmaker  , #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete Midfielder, #Complete ForwardCAM10.0NaN2017-08-032022.0LW10.091.085.087.095.032.058.0NaNNaNNaNNaNNaNNaNPower Free-Kick, Injury Free, Selfish, Early Crosser, Speed Dribbler (CPU AI Only), Crowd Favourite87876287879688878195948996928480618149845136879090942726299915151184+384+384+390+389+389+389+390+390+390+390+389+382+382+382+389+366+361+361+361+366+361+346+346+346+361+3
3200389https://sofifa.com/player/200389/jan-oblak/20/159586J. OblakJan Oblak261993-01-0718887SloveniaAtlético Madrid919377500000125000GKRight331Medium/MediumNormalYes164700000.0NaNGK13.0NaN2014-07-162023.0GK1.0NaNNaNNaNNaNNaNNaN87.092.078.089.052.090.0Flair, Acrobatic Clearance13111543131213144030436067884959784178123419116511682712188792789089NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
4183277https://sofifa.com/player/183277/eden-hazard/20/159586E. HazardEden Hazard281991-01-0717574BelgiumReal Madrid919190000000470000LW, CFRight444High/MediumNormalYes184500000.0#Speedster, #Dribbler, #AcrobatLW7.0NaN2019-07-012024.0LF10.091.083.086.094.035.066.0NaNNaNNaNNaNNaNNaNBeat Offside Trap, Selfish, Finesse Shot, Speed Dribbler (CPU AI Only), Crowd Favourite8184618983958379839494889590948256846380544187898891342722111268883+383+383+389+388+388+388+389+389+389+389+389+383+383+383+389+366+363+363+363+366+361+349+349+349+361+3
5192985https://sofifa.com/player/192985/kevin-de-bruyne/20/159586K. De BruyneKevin De Bruyne281991-06-2818170BelgiumManchester City919190000000370000CAM, CMRight454High/HighNormalYes166500000.0#Dribbler, #Playmaker  , #Engine, #Distance Shooter, #Crosser, #Complete MidfielderRCM17.0NaN2015-08-302023.0RCM7.076.086.092.086.061.078.0NaNNaNNaNNaNNaNNaNPower Free-Kick, Avoids Using Weaker Foot, Dives Into Tackles (CPU AI Only), Leadership, Argues with Officials, Finesse Shot938255928286858391917776789176916389749076618894799168585115135101382+382+382+387+387+387+387+387+388+388+388+388+387+387+387+388+377+377+377+377+377+373+366+366+366+373+3
6192448https://sofifa.com/player/192448/marc-andre-ter-stegen/20/159586M. ter StegenMarc-André ter Stegen271992-04-3018785GermanyFC Barcelona909367500000250000GKRight341Medium/MediumNormalYes143400000.0NaNGK1.0NaN2014-07-012022.0SUB22.0NaNNaNNaNNaNNaNNaN88.085.088.090.045.088.0Swerve Pass, Acrobatic Clearance, Flair Passes18141161142118126330385037864366793578104322117025702513108885888890NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
7203376https://sofifa.com/player/203376/virgil-van-dijk/20/159586V. van DijkVirgil van Dijk271991-07-0819392NetherlandsLiverpool909178000000200000CBRight332Medium/MediumNormalYes150200000.0#Tackling , #Tactician , #Strength, #Complete DefenderLCB4.0NaN2018-01-012023.0LCB4.077.060.070.071.090.086.0NaNNaNNaNNaNNaNNaNDiver, Avoids Using Weaker Foot, Leadership, Long Passer (CPU AI Only)5352867845706070817674796188538190759264828947656289919285131013111169+369+369+367+369+369+369+367+369+369+369+369+374+374+374+369+379+383+383+383+379+381+387+387+387+381+3
8177003https://sofifa.com/player/177003/luka-modric/20/159586L. ModrićLuka Modrić331985-09-0917266CroatiaReal Madrid909045000000340000CMRight444High/HighLeanYes92300000.0#Dribbler, #Playmaker  , #Crosser, #Acrobat, #Complete MidfielderRCM10.0NaN2012-08-012020.0NaNNaN74.076.089.089.072.066.0NaNNaNNaNNaNNaNNaNArgues with Officials, Finesse Shot, Speed Dribbler (CPU AI Only), Crowd Favourite8672559276878578889277719289937968855882628279918292687671139714977+377+377+384+383+383+383+384+386+386+386+385+387+387+387+385+381+381+381+381+381+379+372+372+372+379+3
9209331https://sofifa.com/player/209331/mohamed-salah/20/159586M. SalahMohamed Salah Ghaly271992-06-1517571EgyptLiverpool909080500000240000RW, STLeft334High/MediumPLAYER_BODY_TYPE_25Yes148900000.0#Speedster, #Dribbler, #Acrobat, #Clinical Finisher, #Complete ForwardRW11.0NaN2017-07-012023.0RW10.093.086.081.089.045.074.0NaNNaNNaNNaNNaNNaNBeat Offside Trap, Argues with Officials, Early Crosser, Speed Dribbler (CPU AI Only), Outside Foot Shot799059847989836975899492919288806985738463559284779138434114149111484+384+384+388+388+388+388+388+387+387+387+387+381+381+381+387+370+367+367+367+370+366+357+357+357+366+3

Last rows

sofifa_idplayer_urlshort_namelong_nameagedobheight_cmweight_kgnationalitycluboverallpotentialvalue_eurwage_eurplayer_positionspreferred_footinternational_reputationweak_footskill_moveswork_ratebody_typereal_facerelease_clause_eurplayer_tagsteam_positionteam_jersey_numberloaned_fromjoinedcontract_valid_untilnation_positionnation_jersey_numberpaceshootingpassingdribblingdefendingphysicgk_divinggk_handlinggk_kickinggk_reflexesgk_speedgk_positioningplayer_traitsattacking_crossingattacking_finishingattacking_heading_accuracyattacking_short_passingattacking_volleysskill_dribblingskill_curveskill_fk_accuracyskill_long_passingskill_ball_controlmovement_accelerationmovement_sprint_speedmovement_agilitymovement_reactionsmovement_balancepower_shot_powerpower_jumpingpower_staminapower_strengthpower_long_shotsmentality_aggressionmentality_interceptionsmentality_positioningmentality_visionmentality_penaltiesmentality_composuredefending_markingdefending_standing_tackledefending_sliding_tacklegoalkeeping_divinggoalkeeping_handlinggoalkeeping_kickinggoalkeeping_positioninggoalkeeping_reflexeslsstrslwlfcfrfrwlamcamramlmlcmcmrcmrmlwbldmcdmrdmrwblblcbcbrcbrb
18268247452https://sofifa.com/player/247452/michael-gallagher/20/159586M. GallagherMichael Gallagher182000-07-0917870Republic of IrelandFinn Harps4860500001000LM, RM, CMRight132Medium/MediumNormalNo88000.0NaNSUB17.0NaN2016-07-012019.0NaNNaN60.040.046.049.034.047.0NaNNaNNaNNaNNaNNaNNaN4034425333493535474863575533575159345141503447453841303532799131044+244+244+246+246+246+246+246+247+247+247+246+244+244+244+246+240+240+240+240+240+239+239+239+239+239+2
18269252181https://sofifa.com/player/252181/jiahui-huang/20/159586Huang JiahuiJiahui Huang182000-10-0718374China PRDalian YiFang FC4860400001000CBRight132Medium/MediumNormalNo70000.0NaNSUB14.0NaN2019-01-012023.0NaNNaN70.029.029.035.046.053.0NaNNaNNaNNaNNaNNaNNaN2830463123252828243570706847614075535515414930333943404849812137538+238+238+236+236+236+236+236+234+234+234+237+234+234+234+237+244+240+240+240+244+246+246+246+246+246+2
18270252568https://sofifa.com/player/252568/mohammed-sagaf/20/159586M. SagafMohammed Sagaf211997-11-1217770EnglandCarlisle United4860500001000CMRight132Medium/MediumLeanNo98000.0NaNSUB28.0NaN2019-08-032020.0NaNNaN61.036.047.044.038.053.0NaNNaNNaNNaNNaNNaNNaN3926455433433732534163605651505460555138553753444042363742101313111145+245+245+245+246+246+246+245+246+246+246+247+246+246+246+247+245+245+245+245+245+245+243+243+243+245+2
18271243961https://sofifa.com/player/243961/evan-tweed/20/159586E. TweedEvan Tweed201999-03-0118072Republic of IrelandDerry City4859500001000CMRight132Medium/MediumNormalNo88000.0NaNSUB19.0NaN2018-02-232019.0NaNNaN52.037.047.046.042.049.0NaNNaNNaNNaNNaNNaNNaN373549552741313047445450635364476051453152453749404339394861195843+243+243+244+244+244+244+244+246+246+246+245+246+246+246+245+246+246+246+246+246+246+245+245+245+246+2
18272251789https://sofifa.com/player/251789/paul-martin/20/159586P. MartinPaul Martin201999-01-0518884Republic of IrelandWaterford FC4858400001000GKRight111Medium/MediumNormalNo70000.0NaNSUB30.0NaN2019-06-282019.0NaNNaNNaNNaNNaNNaNNaNNaN54.051.046.045.024.043.0NaN12813268514141612321735353135482157917106241334612115451464345NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
18273245006https://sofifa.com/player/245006/shuai-shao/20/159586Shao Shuai邵帅221997-03-1018679China PRBeijing Renhe FC4856400002000CBRight132Medium/HighNormalNo70000.0NaNRES36.0NaN2018-07-132019.0NaNNaN57.023.028.033.047.051.0NaNNaNNaNNaNNaNNaNNaN2117403527242321283556584540733670604716464828253941455052551351432+232+232+231+231+231+231+231+231+231+231+233+233+233+233+233+243+242+242+242+243+245+246+246+246+245+2
18274250995https://sofifa.com/player/250995/mingjie-xiao/20/159586Xiao MingjieMingjie Xiao221997-01-0117766China PRShanghai SIPG FC4856400002000CBRight122Medium/MediumNormalNo72000.0NaNSUB31.0NaN2019-02-012022.0NaNNaN58.024.033.035.048.048.0NaNNaNNaNNaNNaNNaNNaN24204243283224293931556143417633725544204249232537354253571361411933+233+233+233+232+232+232+233+233+233+233+235+236+236+236+235+244+243+243+243+244+246+247+247+247+246+2
18275252332https://sofifa.com/player/252332/wei-zhang/20/159586Zhang Wei张威192000-05-1618675China PRHebei China Fortune FC4856400001000CMRight122Low/MediumLeanNo70000.0NaNSUB38.0NaN2019-01-012019.0NaNNaN54.035.044.045.048.051.0NaNNaNNaNNaNNaNNaNNaN3233495332403232554955545252574860505126504538383639465246781061443+243+243+243+243+243+243+243+244+244+244+245+246+246+246+245+247+249+249+249+247+247+249+249+249+247+2
18276251110https://sofifa.com/player/251110/haijian-wang/20/159586Wang Haijian汪海健182000-08-0218574China PRShanghai Greenland Shenhua FC4854400001000CMRight122Low/LowLeanNo70000.0NaNSUB33.0NaN2019-02-012022.0NaNNaN59.035.047.047.045.052.0NaNNaNNaNNaNNaNNaNNaN393447542842373948495563555459466142552857493148364039445414913131343+243+243+245+244+244+244+245+246+246+246+246+246+246+246+246+248+248+248+248+248+248+249+249+249+248+2
18277233449https://sofifa.com/player/233449/ximing-pan/20/159586Pan Ximing潘喜明261993-01-1118278China PRHebei China Fortune FC4851400002000CMRight132Medium/MediumNormalNoNaNNaNSUB37.0Tianjin TEDA FCNaN2019.0NaNNaN60.032.051.045.047.055.0NaNNaNNaNNaNNaNNaNNaN44304858254034355246546452497141644061305447295238425242488121491042+242+242+244+243+243+243+244+246+246+246+246+246+246+246+246+248+249+249+249+248+248+250+250+250+248+2